SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

As a Senior Analyst on the Risk Analytics team, you will be the analytical engine behind our fraud prevention strategy. You will build models, run experiments, and develop tools that help us make smarter, faster decisions, reducing reliance on external black boxes and static rules. You will work closely with the Manager, Risk Analytics, owning the technical and statistical work that turns strategy into something measurable and executable. You will also be a key driver of how our team uses AI: not just adopting tools as they come, but actively building workflows, automating repetitive analysis, and thinking ahead about how AI can keep us one step ahead of increasingly sophisticated fraud.

What you’ll do

• Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning, vendor evaluation, and internal risk scoring
• Design and run statistical experiments from hypothesis through measurement and communication of results, including A/B tests on routing changes, holdout experiments, and vendor performance assessments
• Develop and iterate on internal fraud risk models using SeatGeek transaction and vendor data; own model calibration, validation, and ongoing performance monitoring
• Actively use AI tools including LLMs, code generation, and agentic workflows to move faster and build smarter; help define how AI gets embedded into the team’s analytical processes, and identify opportunities to automate work currently done manually
• Contribute to vendor performance analysis: assess score calibration, measure lift across segments, and surface findings that inform routing decisions and contract discussions
• Build and maintain dashboards and reports in Looker and Hex; develop SQL models and data views to support the team’s analytical needs
• Monitor fraud and operations metrics, investigate anomalies, and escalate findings with a clear point of view on recommended actions
• Collaborate with Risk Ops agents, the manager, and cross-functional partners in Engineering, Payments, and CX to translate analysis into action

What you have

• 3+ years of experience in fraud analytics, risk, fintech, or a quantitatively demanding analytical role
• Strong Python skills; you build end-to-end analyses and pipelines independently, and are proficient with pandas, scikit-learn, statsmodels, or equivalent libraries
• Strong SQL; you can own complex data pulls, understand warehouse structures, and build views and models that others rely on
• Solid statistical grounding: you can design statistically valid experiments, perform significance testing, assess model calibration, and communicate findings clearly to a non-technical audience
• Hands-on experience building, training, and validating classification models independently; familiarity with model evaluation methods, handling class imbalance, and translating model outputs into business decisions
• Genuine enthusiasm for AI tools: you actively use LLMs and code generation in your day-to-day work, think about how to design AI-assisted workflows, and take initiative in identifying where AI can replace manual effort
• Comfort operating in ambiguity; you are expected to define the problem as much as solve it
• Familiarity with fraud vendors such as Forter, Riskified, or Sardine is a plus; experience with Looker or similar BI tools is a plus

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave
• 401(k) matching
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $360 per quarter to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $108,000 - $157,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

Duration: This is a ~4 month contract opportunity

Included Health is hiring a Workforce Analytics Model Standardization Consultant to improve the reliability, maintainability, and usability of the Google Sheets-based models that support workforce planning, forecasting, FP&A, and Care Operations. This is a hands-on role for someone who has built spreadsheet tools that other teams depended on, can reverse-engineer undocumented models, and can work inside a live monthly production cycle without disrupting it.

The consultant will partner with Workforce Analytics, FP&A, Care Operations, HRIS, Data Engineering, and other stakeholders to standardize high-burden models, document historical sources of truth, support recurring workflows, and create consistent pre-read outputs for operational and financial decision-making.

Responsibilities:

Model Standardization & Cleanup

• Bring high-burden Google Sheets models up to team standards for structure, readability, maintainability, and traceability.

• Audit interconnected spreadsheets, identify broken or fragile dependencies, clarify inputs and outputs, and reduce unnecessary complexity without changing sound forecasting methodology.

• Establish consistent conventions for tabs, formulas, input areas, assumptions, checks, file naming, permissions, and handoff materials.

• Review models for data integrity, formula consistency, broken links, stale inputs, hard-coded values, and other issues that could create production risk.

• Preserve business logic that is working while making the model understandable and operable by someone other than its original author.

Documentation & Archiving

• Reverse-engineer undocumented or lightly documented models and write clear, practical documentation explaining how they work.

• Document source data, refresh steps, dependencies, assumptions, business rules, key calculations, outputs, known limitations, and common failure modes.

• Organize Google Drive folders and model inventories so current working files, reference files, archived versions, and historical sources of truth are clearly distinguished.

• Identify and archive stale or redundant versions while preserving the historical files needed for auditability, trend analysis, and retrospective review.

• Create handoff materials that enable an analyst to run, troubleshoot, and maintain the work after the engagement ends.

Cycle & Workflow Support

• Support the recurring workforce planning and forecasting cycle, which runs roughly from the 20th through the 10th of each month.

• Handle routine manual ingestion, file preparation, formatting, reconciliation, and quality-check tasks so senior analysts can focus on interpretation and decision support.

• Work carefully within live production processes, escalating issues early and protecting deadlines for FP&A and Operations deliverables.

• Help clarify and improve Jira workflow structure where it supports intake, tracking, prioritization, review, and completion of analytics work.

• Create lightweight checklists and repeatable procedures for recurring tasks, with clear ownership and escalation paths.

Governance Delivery

• Develop standardized model outputs and reusable templates for FP&A and Operations pre-reads.

• Meet with stakeholders to understand what they need to review, decide, and act on—not just what they initially ask to receive.

• Draft recurring monthly outputs, gather feedback, and turn useful patterns into consistent templates and operating standards.

• Improve traceability from source data and assumptions through model outputs and executive or operational reporting.

• Apply practical quality controls, peer-review steps, versioning conventions, and documentation standards appropriate for workforce and financial planning work.

Quality Delivery

• Maintain sufficient hands-on proficiency in advanced Google Sheets, SQL or equivalent data-querying tools, and spreadsheet-based forecasting workflows to independently investigate and resolve issues.

• Pull and validate source data rather than relying exclusively on prepared extracts or analyst-provided datasets.

• Produce work that is accurate, reproducible, well documented, and usable under deadline pressure.

• Use Apps Script, light Python, or other automation selectively when it improves reliability or reduces repetitive work without introducing unnecessary operational risk.

• Respect the privacy, sensitivity, and appropriate use of people and workforce data throughout the engagement.

Engagement Scope and Deliverables:

This is a named-person, scoped project with a hard end date. As a consultant, you will be expected to own defined workstreams and leave behind durable improvements, not simply provide general staff augmentation or recommendations.

Expected deliverables may include:

• Standardized and cleaned Google Sheets models, with documented changes and known limitations.

• A model inventory identifying current working files, dependencies, owners, refresh cadence, and canonical historical sources.

• Archived and organized Google Drive folders with clear naming and version conventions.

• Practical runbooks and handoff documentation for recurring models and workflows.

• Repeatable ingestion, reconciliation, and quality-check procedures for the monthly cycle.

• Standardized FP&A and Operations pre-read templates and supporting model outputs.

• Recommended Jira workflow structures or updates where needed to support analytics intake and delivery.

Requirements:

• 6+ years in analytics, workforce planning, FP&A analytics, operations analytics, or a related data-focused field, with experience owning projects end to end.

• Demonstrated experience building spreadsheet tools that other people relied on and maintaining them through real operating cycles.

• Advanced proficiency in Google Sheets, including complex formulas, interconnected files, data validation, error handling, performance considerations, and cross-file references at scale.

• Direct experience reverse-engineering another person’s undocumented or poorly documented spreadsheet model and explaining how it works to someone else.

• Experience supporting FP&A, workforce planning, demand forecasting, capacity planning, or a similar recurring planning process where traceability and deadline discipline matter.

• Ability to pull, inspect, and validate data independently using SQL or an equivalent querying or data-extraction tool.

• Strong stakeholder-discovery skills, including the ability to extract requirements from partners who have not yet articulated a clean specification.

• Experience documenting and handing off work successfully, with specific examples of teams continuing to operate the tools after the consultant or analyst left.

• Ability to work inside a live production cycle, manage competing deadlines, and escalate risks before they affect monthly deliverables.

• Strong written and verbal communication skills, with the ability to explain model logic and data issues clearly to both technical and non-technical stakeholders.

• Willingness to perform detailed, repetitive, and operationally necessary work, including file organization, version cleanup, archiving, reconciliation, and formatting.

Preferred Qualifications:

• Experience building and leading forecasting or analytics teams, including setting priorities, establishing delivery standards, coaching analysts, and creating repeatable operating practices.

• Experience with Apps Script, Python, or another scripting language for lightweight data analysis or workflow automation.

• Experience establishing model governance, version-control practices, documentation standards, review checklists, or audit-ready controls.

• Experience working in a regulated, audited, SOX-adjacent, healthcare, financial services, or similarly controlled environment.

• Experience with Jira workflow design for analytics intake, triage, prioritization, review, or delivery.

• Experience producing recurring pre-reads or standardized planning packages for Finance, Operations, or executive stakeholders.

• Familiarity with workforce management, contact center, clinical operations, care delivery, or other environments where demand, staffing, capacity, and productivity are closely connected.

The United States hourly range for this full time, contract position is $85/hour - $100/hour.

Below is additional information on Included Health’s commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.

Starting hourly rate for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone’s unique market conditions to ensure that all contractors receive fair and great compensation based on their roles and locations. Your Recruiter can share your geographic zone upon inquiry.

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

---–

Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.

Included Health uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions—final decisions are made exclusively by our recruiting and hiring teams.

Company Description

For 150 years we’ve been changing the way the world moves - now it is your chance to design the next chapter of the strategic growth field of Continental Tires. We are looking for you as an Customer Service specialist for the Shared Service Center.

Job Description

Key targets:

Responsible for development, execution and maintenance of reporting relevant for business.

Development of process automation solutions aligned with process requirements.

Development, maintenance and continuous improvement of data management solutions.

Core Responsibility Areas

1. Data Management & Data Modeling

• Design and maintain data models for reporting and analytics.

• Integrate multiple business data sources into efficient, sustainable data structures.

• Ensure data quality, GDPR compliance, and adherence to internal standards.

• Automate data refresh processes where possible.

2. Reporting

• Define reporting requirements with business stakeholders.

• Develop reporting concepts and dashboards aligned with business objectives.

• Perform reporting quality assurance and testing.

• Document KPIs, definitions, data relationships, exceptions, and reporting standards.

3. Process Automation

• Identify business processes suitable for automation.

• Design sustainable automation solutions with performance monitoring mechanisms.

• Assess business impacts and dependencies across affected functions.

• Continuously improve automated solutions through root cause analysis and optimization.

4. Project Management

• Gather and document business requirements.

• Create development plans, milestones, and stakeholder communication plans.

• Manage project risks, mitigation measures, and contingency plans.

• Ensure project documentation follows internal standards.

• Support rollout, user training, and ongoing maintenance.

5. Quality & Governance

• Develop and execute testing procedures before release.

• Establish quality controls for reporting and automation solutions.

• Maintain traceable documentation and governance standards.

• Drive continuous improvement and operational stability.

Qualifications

You can be a perfect match in our team if you are/have:

• Student or graduate of IT, Computer Science, Mathematics, Engineering or equivalent education programs welcomed

• Data Modeling (Power BI, SQL, Databases)

• Report & KPI Development

• Data Governance & GDPR

• Process Automation (Power Automate, RPA, workflow tools)

• AI tools knowledge welcomed

• Good English skills (speaking, listening, reading, and writing)

• Good computer skills, Microsoft Office package

• Communication skills

• Ability to complete assigned tasks independently

• Organizational and time management skills

• Keen to contribute & not shy to share their thoughts with the team

Additional Information

• A supportive and innovative environment to grow your skills
• Flexible working hours and hybrid work options
• Opportunity to contribute to impactful projects
• Outlook: Opportunity to join an attractive career path
• Health insurance package;
• Company discounts;
• Discounts in modern employee restaurant;
• Extra paid time off;
• Salary ranges are 2300-3300 EUR brutto (before withholding taxes)

Ready to drive with Continental? Take the first step and fill in the online application.

RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly...

About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the Team

The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams.

Our team is often called to answer questions like:

• What are the meaningful messaging takeaways from a poll of industry elites for a major corporation to consider in their paid communication?
• How should a movie studio structure their marketing based on who a likely movie goer is?
• What political trends should a campaign be aware of, and what are the different pathways to victory?
• How do we present our models, calculators, and reports, so our partners get the information they need?

Tools of the Trade

• We work closely with our Data Science team, so you’ll need an understanding of statistical concepts, be able to interpret results and explain them to non-analysts
• We use big data sets so you will need to be comfortable with tools to access information and analyze that information such as SQL and some statistical and/or spreadsheet software
• We use an array of business intelligence tools to visualize our findings.  Members of our team have different strengths such as GIS or Tableau – so we look for some  experience using such tools
• We’re only successful if we can communicate our findings; writing skills, PowerPoint, Keynote and other tools of the consultant toolbox will help you succeed in this job

About the Role

As part of the Insights at BlueLabs, you’ll be working with a group of analysts and data scientists who work across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy.

This position is both a project manager overseeing medium- to large-scale clients as well as a hands-ons contributor providing data management, report or calculator building, and memo or deck preparation or other analysis as needed on larger-scale projects. Senior Analytics Manager I’s are principal managers, people leaders, and client-facing representatives on their accounts.

This position requires a mix of internal and external leadership, analysis, data management and presentation, and communication skills. You’ll be responsible for hard analysis as well as putting together the data infrastructure, reports and calculators that will power our solutions and putting together the client-facing materials that summarizes those findings. You’ll be providing team leadership, problem solving challenges, and responsible for ensuring we hit deadlines with insightful and actionable analysis.

Some examples of projects you might work on:

• Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings
• Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents
• Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people.
• Mentor analysts or fellows and support their growth and development

Such other reasonable tasks may be assigned by management.

What we are seeking

• You have demonstrated experience leading other senior analysts on large unstructured projects.
• You likely have at least a bachelor’s degree in a related field with a statistical background or 3+ years of experience analyzing data and building reports
• You possess the technical acumen to autonomously lead projects, offering direction and support to team members when necessary.
• You have 2+ years directly managing analysts or technical staff
• You are passionate about harnessing data-driven solutions to improve social outcomes
• You’re eager to continue to learn and contribute to mentoring others in the frontier of fundamental techniques in data management, analysis, and visualization
• Your professional experience using data to identify clear insights allows you to be able to conduct data analysis even on tight deadlines, where the problem is unstructured, or the guidance is open ended
• You likely have at least a bachelor’s degree in a related field with some statistical background and 6+ years of experience analyzing data and building reports
• You’ve created reports and worked with data visualization and business intelligence tools
• You’ve created maps with GIS data and used software such as QGIS or ArcGIS
• You have experience with programming languages such as Python and SQL
• You have worked with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote)
• You have leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
• You are effective in navigating and managing client relationships, solving problems, making connections, and implementing opportunities

What Recruitment Looks Like:

We expect to onboard this position in March 2026. The successful candidate will complete up to three interviews (HR phone call, team member interview, and panel interview). There will also be a technical assessment. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you’ve used, and knowledge you have applied.  We often look for explanations of “how or why” so it’s helpful to have details ready.

What We Offer:

BlueLabs offers a friendly work environment and competitive benefits package including:

• Salary: $105,000 - $115,000 annually
• Premier health insurance plan
• 401K matching
• Unlimited vacation
• Paid sick, personal, and volunteer leave
• 15 weeks paid parental leave
• Professional development & learning stipend
• Bring Your Own Device (BYOD) stipend
• Employee Assistance Program (EAP)
• Flexible working hours
• Telecommuting options
• Pre-tax transportation options
• And more!

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for  purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or shareit with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

Duration: This is a ~4 month contract opportunity

Included Health is hiring a Workforce Analytics Model Standardization Consultant to improve the reliability, maintainability, and usability of the Google Sheets-based models that support workforce planning, forecasting, FP&A, and Care Operations. This is a hands-on role for someone who has built spreadsheet tools that other teams depended on, can reverse-engineer undocumented models, and can work inside a live monthly production cycle without disrupting it.

The consultant will partner with Workforce Analytics, FP&A, Care Operations, HRIS, Data Engineering, and other stakeholders to standardize high-burden models, document historical sources of truth, support recurring workflows, and create consistent pre-read outputs for operational and financial decision-making.

Responsibilities:

Model Standardization & Cleanup

• Bring high-burden Google Sheets models up to team standards for structure, readability, maintainability, and traceability.

• Audit interconnected spreadsheets, identify broken or fragile dependencies, clarify inputs and outputs, and reduce unnecessary complexity without changing sound forecasting methodology.

• Establish consistent conventions for tabs, formulas, input areas, assumptions, checks, file naming, permissions, and handoff materials.

• Review models for data integrity, formula consistency, broken links, stale inputs, hard-coded values, and other issues that could create production risk.

• Preserve business logic that is working while making the model understandable and operable by someone other than its original author.

Documentation & Archiving

• Reverse-engineer undocumented or lightly documented models and write clear, practical documentation explaining how they work.

• Document source data, refresh steps, dependencies, assumptions, business rules, key calculations, outputs, known limitations, and common failure modes.

• Organize Google Drive folders and model inventories so current working files, reference files, archived versions, and historical sources of truth are clearly distinguished.

• Identify and archive stale or redundant versions while preserving the historical files needed for auditability, trend analysis, and retrospective review.

• Create handoff materials that enable an analyst to run, troubleshoot, and maintain the work after the engagement ends.

Cycle & Workflow Support

• Support the recurring workforce planning and forecasting cycle, which runs roughly from the 20th through the 10th of each month.

• Handle routine manual ingestion, file preparation, formatting, reconciliation, and quality-check tasks so senior analysts can focus on interpretation and decision support.

• Work carefully within live production processes, escalating issues early and protecting deadlines for FP&A and Operations deliverables.

• Help clarify and improve Jira workflow structure where it supports intake, tracking, prioritization, review, and completion of analytics work.

• Create lightweight checklists and repeatable procedures for recurring tasks, with clear ownership and escalation paths.

Governance Delivery

• Develop standardized model outputs and reusable templates for FP&A and Operations pre-reads.

• Meet with stakeholders to understand what they need to review, decide, and act on—not just what they initially ask to receive.

• Draft recurring monthly outputs, gather feedback, and turn useful patterns into consistent templates and operating standards.

• Improve traceability from source data and assumptions through model outputs and executive or operational reporting.

• Apply practical quality controls, peer-review steps, versioning conventions, and documentation standards appropriate for workforce and financial planning work.

Quality Delivery

• Maintain sufficient hands-on proficiency in advanced Google Sheets, SQL or equivalent data-querying tools, and spreadsheet-based forecasting workflows to independently investigate and resolve issues.

• Pull and validate source data rather than relying exclusively on prepared extracts or analyst-provided datasets.

• Produce work that is accurate, reproducible, well documented, and usable under deadline pressure.

• Use Apps Script, light Python, or other automation selectively when it improves reliability or reduces repetitive work without introducing unnecessary operational risk.

• Respect the privacy, sensitivity, and appropriate use of people and workforce data throughout the engagement.

Engagement Scope and Deliverables:

This is a named-person, scoped project with a hard end date. As a consultant, you will be expected to own defined workstreams and leave behind durable improvements, not simply provide general staff augmentation or recommendations.

Expected deliverables may include:

• Standardized and cleaned Google Sheets models, with documented changes and known limitations.

• A model inventory identifying current working files, dependencies, owners, refresh cadence, and canonical historical sources.

• Archived and organized Google Drive folders with clear naming and version conventions.

• Practical runbooks and handoff documentation for recurring models and workflows.

• Repeatable ingestion, reconciliation, and quality-check procedures for the monthly cycle.

• Standardized FP&A and Operations pre-read templates and supporting model outputs.

• Recommended Jira workflow structures or updates where needed to support analytics intake and delivery.

Requirements:

• 6+ years in analytics, workforce planning, FP&A analytics, operations analytics, or a related data-focused field, with experience owning projects end to end.

• Demonstrated experience building spreadsheet tools that other people relied on and maintaining them through real operating cycles.

• Advanced proficiency in Google Sheets, including complex formulas, interconnected files, data validation, error handling, performance considerations, and cross-file references at scale.

• Direct experience reverse-engineering another person’s undocumented or poorly documented spreadsheet model and explaining how it works to someone else.

• Experience supporting FP&A, workforce planning, demand forecasting, capacity planning, or a similar recurring planning process where traceability and deadline discipline matter.

• Ability to pull, inspect, and validate data independently using SQL or an equivalent querying or data-extraction tool.

• Strong stakeholder-discovery skills, including the ability to extract requirements from partners who have not yet articulated a clean specification.

• Experience documenting and handing off work successfully, with specific examples of teams continuing to operate the tools after the consultant or analyst left.

• Ability to work inside a live production cycle, manage competing deadlines, and escalate risks before they affect monthly deliverables.

• Strong written and verbal communication skills, with the ability to explain model logic and data issues clearly to both technical and non-technical stakeholders.

• Willingness to perform detailed, repetitive, and operationally necessary work, including file organization, version cleanup, archiving, reconciliation, and formatting.

Preferred Qualifications:

• Experience building and leading forecasting or analytics teams, including setting priorities, establishing delivery standards, coaching analysts, and creating repeatable operating practices.

• Experience with Apps Script, Python, or another scripting language for lightweight data analysis or workflow automation.

• Experience establishing model governance, version-control practices, documentation standards, review checklists, or audit-ready controls.

• Experience working in a regulated, audited, SOX-adjacent, healthcare, financial services, or similarly controlled environment.

• Experience with Jira workflow design for analytics intake, triage, prioritization, review, or delivery.

• Experience producing recurring pre-reads or standardized planning packages for Finance, Operations, or executive stakeholders.

• Familiarity with workforce management, contact center, clinical operations, care delivery, or other environments where demand, staffing, capacity, and productivity are closely connected.

The United States hourly range for this full time, contract position is $85/hour - $100/hour.

Below is additional information on Included Health’s commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.

Starting hourly rate for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone’s unique market conditions to ensure that all contractors receive fair and great compensation based on their roles and locations. Your Recruiter can share your geographic zone upon inquiry.

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

---–

Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.

Included Health uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions—final decisions are made exclusively by our recruiting and hiring teams.

Top 3 Reasons To Join Us

• Competitive Salary
• 100% Remote
• Working on the latest tech for the Insurtech Market Leader

About Us

At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.

• We are a leading global no-code insurance platform for health, life, and P&C
• We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
• We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
• We’re an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
• We are fully funded and backed by reputable VC funds and strategic institutional investors
• We have a global presence in Asia, EMEA and the Americas
• We’ve grown our annualized revenue by over 30x since January 2021
• We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world

What You Will Do:

• Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
• Plan and design simple to semi-complex business processes and system modifications
• Make recommendations to improve and support business activities
• Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
• Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
• Develop business requirements documents/user stories to support the required modifications
• May plan, allocate and monitor work of other business analysts
• Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
• Assist in providing time estimates for project related tasks
• Aid in updating process and procedural documentation
• Develop basic understanding of technical development cycle of mobile application or web portals
• Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
• Any other task that may be assigned

What We Need:

• Minimum 5 years of experience as Business Analyst
• A degree in Business, IT or any relevant field
• Previous experience working in the health insurance industry is required
• Insurtech experience is preferred
• Health Insurance-related domain certification from INS/LOMA or III is an added advantage
• Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
• Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
• Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
• Experience in an Agile and/or Scrum environment is a must
• Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
• Excellent written and verbal communication skills in English
• Technical writing skills is a plus

Why You’ll Love Working Here

• Fully Remote
• Flexible Leave
• International Environment
• Competitive renumeration package
• Performance Bonus
• Company activities and events
• Learning and development plan
• Remote work allowance

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Company Description

For 150 years we’ve been changing the way the world moves - now it is your chance to design the next chapter of the strategic growth field of Continental Tires. We are looking for you as an Customer Service specialist for the Shared Service Center.

Job Description

Key targets:

Responsible for development, execution and maintenance of reporting relevant for business.

Development of process automation solutions aligned with process requirements.

Development, maintenance and continuous improvement of data management solutions.

Core Responsibility Areas

1. Data Management & Data Modeling

• Design and maintain data models for reporting and analytics.

• Integrate multiple business data sources into efficient, sustainable data structures.

• Ensure data quality, GDPR compliance, and adherence to internal standards.

• Automate data refresh processes where possible.

2. Reporting

• Define reporting requirements with business stakeholders.

• Develop reporting concepts and dashboards aligned with business objectives.

• Perform reporting quality assurance and testing.

• Document KPIs, definitions, data relationships, exceptions, and reporting standards.

3. Process Automation

• Identify business processes suitable for automation.

• Design sustainable automation solutions with performance monitoring mechanisms.

• Assess business impacts and dependencies across affected functions.

• Continuously improve automated solutions through root cause analysis and optimization.

4. Project Management

• Gather and document business requirements.

• Create development plans, milestones, and stakeholder communication plans.

• Manage project risks, mitigation measures, and contingency plans.

• Ensure project documentation follows internal standards.

• Support rollout, user training, and ongoing maintenance.

5. Quality & Governance

• Develop and execute testing procedures before release.

• Establish quality controls for reporting and automation solutions.

• Maintain traceable documentation and governance standards.

• Drive continuous improvement and operational stability.

Qualifications

You can be a perfect match in our team if you are/have:

• Student or graduate of IT, Computer Science, Mathematics, Engineering or equivalent education programs welcomed

• Data Modeling (Power BI, SQL, Databases)

• Report & KPI Development

• Data Governance & GDPR

• Process Automation (Power Automate, RPA, workflow tools)

• AI tools knowledge welcomed

• Good English skills (speaking, listening, reading, and writing)

• Good computer skills, Microsoft Office package

• Communication skills

• Ability to complete assigned tasks independently

• Organizational and time management skills

• Keen to contribute & not shy to share their thoughts with the team

Additional Information

• A supportive and innovative environment to grow your skills
• Flexible working hours and hybrid work options
• Opportunity to contribute to impactful projects
• Outlook: Opportunity to join an attractive career path
• Health insurance package;
• Company discounts;
• Discounts in modern employee restaurant;
• Extra paid time off;
• Salary ranges are 2300-3300 EUR brutto (before withholding taxes)

Ready to drive with Continental? Take the first step and fill in the online application.

About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the Team

The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams.

Our team is often called to answer questions like:

• What are the meaningful messaging takeaways from a poll of industry elites for a major corporation to consider in their paid communication?
• How should a movie studio structure their marketing based on who a likely movie goer is?
• What political trends should a campaign be aware of, and what are the different pathways to victory?
• How do we present our models, calculators, and reports, so our partners get the information they need?

Tools of the Trade

• We work closely with our Data Science team, so you’ll need an understanding of statistical concepts, be able to interpret results and explain them to non-analysts
• We use big data sets so you will need to be comfortable with tools to access information and analyze that information such as SQL and some statistical and/or spreadsheet software
• We use an array of business intelligence tools to visualize our findings.  Members of our team have different strengths such as GIS or Tableau – so we look for some  experience using such tools
• We’re only successful if we can communicate our findings; writing skills, PowerPoint, Keynote and other tools of the consultant toolbox will help you succeed in this job

About the Role

As part of the Insights at BlueLabs, you’ll be working with a group of analysts and data scientists who work across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy.

This position is both a project manager overseeing medium- to large-scale clients as well as a hands-ons contributor providing data management, report or calculator building, and memo or deck preparation or other analysis as needed on larger-scale projects. Senior Analytics Manager I’s are principal managers, people leaders, and client-facing representatives on their accounts.

This position requires a mix of internal and external leadership, analysis, data management and presentation, and communication skills. You’ll be responsible for hard analysis as well as putting together the data infrastructure, reports and calculators that will power our solutions and putting together the client-facing materials that summarizes those findings. You’ll be providing team leadership, problem solving challenges, and responsible for ensuring we hit deadlines with insightful and actionable analysis.

Some examples of projects you might work on:

• Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings
• Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents
• Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people.
• Mentor analysts or fellows and support their growth and development

Such other reasonable tasks may be assigned by management.

What we are seeking

• You have demonstrated experience leading other senior analysts on large unstructured projects.
• You likely have at least a bachelor’s degree in a related field with a statistical background or 3+ years of experience analyzing data and building reports
• You possess the technical acumen to autonomously lead projects, offering direction and support to team members when necessary.
• You have 2+ years directly managing analysts or technical staff
• You are passionate about harnessing data-driven solutions to improve social outcomes
• You’re eager to continue to learn and contribute to mentoring others in the frontier of fundamental techniques in data management, analysis, and visualization
• Your professional experience using data to identify clear insights allows you to be able to conduct data analysis even on tight deadlines, where the problem is unstructured, or the guidance is open ended
• You likely have at least a bachelor’s degree in a related field with some statistical background and 6+ years of experience analyzing data and building reports
• You’ve created reports and worked with data visualization and business intelligence tools
• You’ve created maps with GIS data and used software such as QGIS or ArcGIS
• You have experience with programming languages such as Python and SQL
• You have worked with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote)
• You have leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
• You are effective in navigating and managing client relationships, solving problems, making connections, and implementing opportunities

What Recruitment Looks Like:

We expect to onboard this position in March 2026. The successful candidate will complete up to three interviews (HR phone call, team member interview, and panel interview). There will also be a technical assessment. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you’ve used, and knowledge you have applied.  We often look for explanations of “how or why” so it’s helpful to have details ready.

What We Offer:

BlueLabs offers a friendly work environment and competitive benefits package including:

• Salary: $105,000 - $115,000 annually
• Premier health insurance plan
• 401K matching
• Unlimited vacation
• Paid sick, personal, and volunteer leave
• 15 weeks paid parental leave
• Professional development & learning stipend
• Bring Your Own Device (BYOD) stipend
• Employee Assistance Program (EAP)
• Flexible working hours
• Telecommuting options
• Pre-tax transportation options
• And more!

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for  purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or shareit with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

Company at a Glance

OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.

Data Analyst – Business Intelligence

Location: Remote

Position Summary:

OpenX Technologies, Inc. is looking for a Data Analyst to join our dynamic and high-performing Business Intelligence team within the Finance organization. Our organization’s mission is to steer the financial growth of OpenX through the delivery of world-class financial intelligence, guidance and services.  In this mission we value reliability, integrity and fearless stewardship of OpenX’s business. We strive to operate with objectivity, rigor and strategic insight.

The ideal candidate will be a highly engaged and intellectually curious data analyst with one to three years of experience in an analytic role. You will be responsible for developing in-depth business analyses, providing ad hoc analytic support to the entire business, and driving the scaling and automation of reporting processes.  You will have the opportunity to design and execute quantitative analyses using large and complex data sets, and learn about the dynamic ad tech industry from within one of its leading companies.

Responsibilities:

Build performance and revenue reporting tools for internal customers

Help build and automate data and reporting processes for the Finance organization

Ad-hoc analysis and reporting, serving teams across the company

Execute deep dive quantitative analyses that translates data into actionable insights

Provide analytical and decision-making support for key company initiatives

Present analysis and share findings with both technical and non-technical stakeholders

Key Qualifications:

1-3 years of analytical work experience, preferably within a business intelligence, corporate finance or strategic planning role.  Experience working with large data sets is preferred.

Bachelor’s degree in a quantitative field (such as Mathematics, Statistics, Finance, Economics, Physics), Master’s degree in a quantitative field is preferred.

Strong analytical abilities and the ability to form key, succinct insights and recommendations from analyses involving large amounts of complex data.

Curiosity to identify and ability to solve difficult problems.

Prior experience with relational database systems; strong SQL skills are required.  Previous experience with Google BigQuery is a definite plus.

Strong quantitative skills and proficiency with MS Office and Google suite of applications, and prior experience with scripting languages (such as Python) preferred.

Outstanding written and verbal communication skills.

Ability to interface with and effectively present to multiple levels of management.

Extremely proactive with a strong bias for action; naturally inquisitive; desire to continuously improve current business practices/processes.

Organized, detail-oriented, and ability to multi-task.

$93,500 - $110,000 a year

Pursuant to any state, local ordinance, or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

OpenX is committed to fair and equitable compensation practices. For all applicants, the base salary range is noted above, per year + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.

A summary of our benefits, which include medical, dental, vision, 401k, equity and more, can be viewed here: https://www.openx.com/company/careers/ A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.

OpenX VALUES

Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.

WE ARE ONE

We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture

WE ARE CUSTOMER CENTRIC

We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.

OPENX IS OURS

We are all owners of OpenX

We all have a voice to improve OpenX

We stake our personal and professional reputations on the excellence of our work

We are not interested in just “doing our jobs”; we take ownership to drive results

WE ARE AN OPEN BOOK

We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally.

WE EVOLVE FAST

We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious.

OpenX TRAITS

Our three traits capture what makes a great team member at OpenX.

HUMBLE

Ideal team players are humble and demonstrate integrity. They put the team’s success above their own, share credit generously, and value collective achievements. They are self-assured, open to coaching, and committed to continuous learning.

DRIVEN

Ideal team players are results-driven and motivated. They are curious, always seeking more to do, learn, and take on. As proactive problem-solvers, they take initiative without needing external motivation. They continuously think about the next steps and opportunities for improvement.

SMART

Ideal team players are smart and possess the intellectual acumen to understand the complexities of our organization and industry. They are interpersonally intelligent, good communicators, and exemplify sound judgment in their interactions across the company to foster a collaborative environment.

OpenX is committed to equal employment opportunities.

It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.

OpenX Applicant Privacy Policy

Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.

Effective Date: November 21, 2024

Duration: This is a ~4 month contract opportunity

Included Health is hiring a Workforce Analytics Model Standardization Consultant to improve the reliability, maintainability, and usability of the Google Sheets-based models that support workforce planning, forecasting, FP&A, and Care Operations. This is a hands-on role for someone who has built spreadsheet tools that other teams depended on, can reverse-engineer undocumented models, and can work inside a live monthly production cycle without disrupting it.

The consultant will partner with Workforce Analytics, FP&A, Care Operations, HRIS, Data Engineering, and other stakeholders to standardize high-burden models, document historical sources of truth, support recurring workflows, and create consistent pre-read outputs for operational and financial decision-making.

Responsibilities:

Model Standardization & Cleanup

• Bring high-burden Google Sheets models up to team standards for structure, readability, maintainability, and traceability.

• Audit interconnected spreadsheets, identify broken or fragile dependencies, clarify inputs and outputs, and reduce unnecessary complexity without changing sound forecasting methodology.

• Establish consistent conventions for tabs, formulas, input areas, assumptions, checks, file naming, permissions, and handoff materials.

• Review models for data integrity, formula consistency, broken links, stale inputs, hard-coded values, and other issues that could create production risk.

• Preserve business logic that is working while making the model understandable and operable by someone other than its original author.

Documentation & Archiving

• Reverse-engineer undocumented or lightly documented models and write clear, practical documentation explaining how they work.

• Document source data, refresh steps, dependencies, assumptions, business rules, key calculations, outputs, known limitations, and common failure modes.

• Organize Google Drive folders and model inventories so current working files, reference files, archived versions, and historical sources of truth are clearly distinguished.

• Identify and archive stale or redundant versions while preserving the historical files needed for auditability, trend analysis, and retrospective review.

• Create handoff materials that enable an analyst to run, troubleshoot, and maintain the work after the engagement ends.

Cycle & Workflow Support

• Support the recurring workforce planning and forecasting cycle, which runs roughly from the 20th through the 10th of each month.

• Handle routine manual ingestion, file preparation, formatting, reconciliation, and quality-check tasks so senior analysts can focus on interpretation and decision support.

• Work carefully within live production processes, escalating issues early and protecting deadlines for FP&A and Operations deliverables.

• Help clarify and improve Jira workflow structure where it supports intake, tracking, prioritization, review, and completion of analytics work.

• Create lightweight checklists and repeatable procedures for recurring tasks, with clear ownership and escalation paths.

Governance Delivery

• Develop standardized model outputs and reusable templates for FP&A and Operations pre-reads.

• Meet with stakeholders to understand what they need to review, decide, and act on—not just what they initially ask to receive.

• Draft recurring monthly outputs, gather feedback, and turn useful patterns into consistent templates and operating standards.

• Improve traceability from source data and assumptions through model outputs and executive or operational reporting.

• Apply practical quality controls, peer-review steps, versioning conventions, and documentation standards appropriate for workforce and financial planning work.

Quality Delivery

• Maintain sufficient hands-on proficiency in advanced Google Sheets, SQL or equivalent data-querying tools, and spreadsheet-based forecasting workflows to independently investigate and resolve issues.

• Pull and validate source data rather than relying exclusively on prepared extracts or analyst-provided datasets.

• Produce work that is accurate, reproducible, well documented, and usable under deadline pressure.

• Use Apps Script, light Python, or other automation selectively when it improves reliability or reduces repetitive work without introducing unnecessary operational risk.

• Respect the privacy, sensitivity, and appropriate use of people and workforce data throughout the engagement.

Engagement Scope and Deliverables:

This is a named-person, scoped project with a hard end date. As a consultant, you will be expected to own defined workstreams and leave behind durable improvements, not simply provide general staff augmentation or recommendations.

Expected deliverables may include:

• Standardized and cleaned Google Sheets models, with documented changes and known limitations.

• A model inventory identifying current working files, dependencies, owners, refresh cadence, and canonical historical sources.

• Archived and organized Google Drive folders with clear naming and version conventions.

• Practical runbooks and handoff documentation for recurring models and workflows.

• Repeatable ingestion, reconciliation, and quality-check procedures for the monthly cycle.

• Standardized FP&A and Operations pre-read templates and supporting model outputs.

• Recommended Jira workflow structures or updates where needed to support analytics intake and delivery.

Requirements:

• 6+ years in analytics, workforce planning, FP&A analytics, operations analytics, or a related data-focused field, with experience owning projects end to end.

• Demonstrated experience building spreadsheet tools that other people relied on and maintaining them through real operating cycles.

• Advanced proficiency in Google Sheets, including complex formulas, interconnected files, data validation, error handling, performance considerations, and cross-file references at scale.

• Direct experience reverse-engineering another person’s undocumented or poorly documented spreadsheet model and explaining how it works to someone else.

• Experience supporting FP&A, workforce planning, demand forecasting, capacity planning, or a similar recurring planning process where traceability and deadline discipline matter.

• Ability to pull, inspect, and validate data independently using SQL or an equivalent querying or data-extraction tool.

• Strong stakeholder-discovery skills, including the ability to extract requirements from partners who have not yet articulated a clean specification.

• Experience documenting and handing off work successfully, with specific examples of teams continuing to operate the tools after the consultant or analyst left.

• Ability to work inside a live production cycle, manage competing deadlines, and escalate risks before they affect monthly deliverables.

• Strong written and verbal communication skills, with the ability to explain model logic and data issues clearly to both technical and non-technical stakeholders.

• Willingness to perform detailed, repetitive, and operationally necessary work, including file organization, version cleanup, archiving, reconciliation, and formatting.

Preferred Qualifications:

• Experience building and leading forecasting or analytics teams, including setting priorities, establishing delivery standards, coaching analysts, and creating repeatable operating practices.

• Experience with Apps Script, Python, or another scripting language for lightweight data analysis or workflow automation.

• Experience establishing model governance, version-control practices, documentation standards, review checklists, or audit-ready controls.

• Experience working in a regulated, audited, SOX-adjacent, healthcare, financial services, or similarly controlled environment.

• Experience with Jira workflow design for analytics intake, triage, prioritization, review, or delivery.

• Experience producing recurring pre-reads or standardized planning packages for Finance, Operations, or executive stakeholders.

• Familiarity with workforce management, contact center, clinical operations, care delivery, or other environments where demand, staffing, capacity, and productivity are closely connected.

The United States hourly range for this full time, contract position is $85/hour - $100/hour.

Below is additional information on Included Health’s commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.

Starting hourly rate for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone’s unique market conditions to ensure that all contractors receive fair and great compensation based on their roles and locations. Your Recruiter can share your geographic zone upon inquiry.

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

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Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.

Included Health uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions—final decisions are made exclusively by our recruiting and hiring teams.

RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly...

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.

Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.

People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards.

About the role

As a Product Analyst II at HackerRank, you will own the end-to-end analytics for our products and platforms, working across AI-powered experiences, developer-facing products, content, community growth, or platform initiatives. This is not a BI reporting role — you will own and drive analytics initiatives end-to-end and act as a thought partner to Product, Engineering, Content, Design, and business stakeholders, helping answer not only “what happened?” but also “what should we build, improve, prioritize, or measure next?”

What you will do

• Own analytics for next-generation product(s), platform, content, AI, community, or growth areas.
• Define and evolve metrics across adoption, engagement, retention, satisfaction, usability, usage quality, and customer value.
• Analyze customer and developer journeys, segments, and feature-level behavior to identify opportunities and friction points.
• Evaluate the quality, effectiveness, and adoption of new content and AI-powered product experiences.
• Partner with Product, Engineering, Content, Design, and Marketing teams to define measurement plans and success criteria for new initiatives.
• Drive experimentation by framing hypotheses, sizing opportunities, designing experiments, interpreting results, and recommending next steps.
• Use AI agents as part of your daily analytics workflow, and analyze AI assistants/agentic workflows including usage, outcomes, cost, and usage-based pricing.

Who you are

• You have 3-6 years of full-time experience in product analytics, data science, growth analytics, consumer analytics, platform analytics, or a related field.
• You have advanced SQL skills and experience working with event, session, or clickstream-level product data.
• You are comfortable using Python for analysis and working with large, imperfect, or text-based datasets.
• You have a strong foundation in statistics, including hypothesis testing, confidence intervals, statistical significance, power analysis, sampling, regression, and causal inference.
• You understand funnels, cohort analysis, segmentation, retention, experimentation, and feature adoption.
• You can turn ambiguous business questions into structured analyses, clear recommendations, and measurable outcomes.

Even better if you have

• Familiarity with LLM product metrics, AI quality evaluation, or agent workflow analysis.
• Experience implementing or validating clickstream instrumentation; not only defining requirements for it.
• Experience measuring content quality, learning outcomes, developer workflows, or community engagement.
• Experience working with consumer tech, developer tools, learning platforms, marketplaces, or B2B SaaS products.

You will thrive if you

• You enjoy owning analytics initiatives end to end, from problem framing through impact measurement.
• You thrive in fast-paced environments where priorities evolve based on feedback and insights.
• You have a strong bias for action, experimentation, and continuous improvement in ambiguous environments.
• You enjoy working across product areas and building context quickly.
• You are great at collaborating with multiple stakeholders.

Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

Linkedin | X | Blog | Instagram | Life@HackerRank

Notice to prospective HackerRank job applicants:

• Our Recruiters use @hackerrank.com email addresses.
• We never ask for payment or credit check information to apply, interview, or work here.

Description

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own D2C brands (not an agency), with a presence in Walmart, Nordstrom, Amazon, and a strong global footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

🚀 We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

📈 We test fast, grow fast, and help you do the same.

🤝 Be part of a dynamic, diverse, and talented global team.

🌍 100% Remote, USD competitive salary, paid time off, and more.

Job Responsibilities

This role sits at the intersection of data engineering, analytics, business intelligence, and machine learning infrastructure. You will architect and scale modern data pipelines, build resilient data models, and ensure the reliability, accuracy, and operational performance of our BI reporting layer and ML platforms.

Key Responsibilities

• Pipeline & System Architecture: Architect, scale, and maintain end-to-end ETL/ELT pipelines and Airflow-driven workflows across the full data lifecycle (extraction transformation ML modeling reporting).

• Data Modeling & BI Delivery: Design and optimize SQL transformations, datasets, and high-quality data models. Build, centralize, and maintain dashboards and analytical tools to translate business needs into scalable BI solutions.

• Data Quality & Governance: Establish strong governance, monitoring, alerting, SLAs, data validation, and anomaly detection. Perform root-cause analysis to ensure high accuracy, reliability, and business trust in metrics.

• Machine Learning & Analytics Support: Operationalize ML models in batch/real-time environments and build internal data tools to empower Marketing Science, Analytics, and commercial teams.

• Performance & Cost Optimization: Optimize complex SQL queries and large-scale datasets for performance, cost-efficiency, and scalability across the AWS cloud ecosystem.

• Stakeholder Collaboration: Partner with cross-functional teams to define and report on core business metrics (e.g., CAC, ROAS, LTV, conversion funnels) to directly guide executive decision-making.

Requirements

• Experience: 4+ years in Data Engineering, Analytics Engineering, BI, or ML Engineering in production environments.

• SQL & Modeling: Advanced SQL proficiency (joins, CTEs, window functions, optimization) and proven experience designing/maintaining production data models and pipelines.

• AWS Stack: Hands-on experience with core AWS data services (e.g., Redshift, S3, Glue, Athena, Lambda).

• Orchestration: Hands-on experience with Apache Airflow for workflow management.

• Programming & Engineering Standards: Strong Python skills (OOP focus), experience with CI/CD practices (GitHub Actions/GitLab), and containerization (Docker, Kubernetes/ECS/EKS).

• BI & Data Quality: Proficiency with BI platforms (Tableau,Quicksight or similar) and direct ownership of production reporting, data quality, and root-cause analysis.

• Soft Skills: Systems-level thinker with high standards for documentation, scalability, precision, and communicating insights to technical and non-technical partners.

Nice-to-Have:

• Experience with dbt or modern ELT frameworks

• Specialized e-commerce and marketing analytics expertise (CAC, ROAS, LTV, retention, and funnel optimization).

About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About the role

This is a senior and highly influential role built around judgment, strategic impact, and deep analytical craft. It starts with genuine understanding of our customers, our business, and the dynamics that drive growth. That understanding is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn’t seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built.

The AI infrastructure we’ve built changes what’s possible for someone in this role. Mechanical analysis moves faster than ever. That frees you to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We’re further along than most, but there’s no finished playbook for this yet. You’d be shaping it.

You go deep in analytics, experimentation, and growth. AI gives you the reach.

You’ll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. Nobody has fully cracked how AI transforms product analytics. We’re moving fast, the foundations are real, and there’s room to have massive impact from day one. If you want to be one of the people who shapes how this gets done, this is the role.

Duties and Responsibilities:

• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you’re in the room.
• Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.
• Experimentation at portfolio scale. Own experiment strategy across your product areas: design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.
• AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output: validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.
• Connecting dots no one else sees. You operate across product areas, experiments, and data sources: surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth.
• Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster: you make it the team’s new baseline.

Qualifications and Skills:

• 8+ years of product analytics experience in consumer-facing, high-growth environments
• You don’t wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst: not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
• You’ve changed what gets built, not just reported on what shipped.
• Deep expertise in experiment design, causal inference, and power analysis: combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
• You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
• Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations: not because you’ll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something’s off.

#LI-Remote #LI-MB1

The US national base salary range for this full-time position is $166,000 - $260,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.

You can find further details of our US benefits at https://www.ethoslife.com/careers/

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com. We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.

Fleetworthy offers the only complete technology suite for fleet readiness, uniting safety and compliance, toll management, and weigh station bypass solutions. We help fleets streamline operations, control costs, and operate with confidence.

Trusted by 75% of the top fleets in North America, Fleetworthy offers the most adopted toll management solution and largest weigh station bypass network. Going beyond regulatory requirements, our safety and compliance capabilities strengthen safety programs and enable proactive audit readiness. We support millions of vehicles and drivers and are recognized across the industry for innovation and leadership.

Fleetworthy is shaping the future of fleet readiness with AI-enabled, connected fleet technology that keeps drivers safe, fleets compliant, and operations running at peak efficiency. Learn more at fleetworthy.com.

Join Fleetworthy’s Data Operations team as a Business Analyst and become the critical “next layer” that transforms high-level strategic initiatives into clear, actionable work for our delivery teams. This is a role for someone who thrives at the intersection of business needs and technical execution—translating ambiguity into clarity and keeping multiple strategic initiatives moving forward.

What makes this role different:

• Work on cutting-edge data and AI platforms (Databricks, AI/Genie Code, modern data stack)

• Direct exposure to senior leadership across a growing 500-person company

• Own initiatives end-to-end, from stakeholder conversations to delivered solutions

• High variety: Revenue, Finance, Product, Enterprise teams - never siloed to one domain

The Problem You’ll Solve

Our Data Operations teams are at an inflection point. We have:

• Multiple concurrent strategic initiatives and not enough time to fully flesh out requirements and dependencies

• Two delivery teams (Data Platform and Data Services) focused on executing committed quarterly work

• Multiple avenues to make ad-hoc requests, slowing things down

That’s where you come in.

You’ll be the bridge - taking strategic direction and stakeholder needs, fleshing out the details, and structuring work so delivery teams can execute confidently. You’ll bring rigor to Enterprise requests and use AI tools to scale your work across multiple domains.

What You’ll Do:

Requirements Translation & Deep Dives

• Gain high-level understanding or projects from the Director and leadership meetings, fleshing out details

• Conduct follow-up interviews with stakeholders to uncover granular requirements

• Transform vague asks into real specs: source systems touched, definition of done, stakeholder sign-off, priority tier

• Use AI (Claude, ChatGPT, Genie Code) to analyze Slack & Email threads, draft requirements, and explore data

• Work with technical teams to translate business language into technical requirements delivery teams can act on

Solution Coordination & Planning

• Work with Director to ideate high-level solution approaches

• Create well-structured epics and Jira tickets with clear acceptance criteria

• Work with Data Platform and Data Services managers to prioritize and plan work

• Contribute to quarterly planning alongside team managers and Director

• Keep multiple balls in the air when teams are focused on delivery

Enterprise/Business Enablement

• Create a single intake front door for RevOps, Finance, and other Enterprise & Product team requests

• Understand Enterprise teams’ data needs and pain points and represent Enterprise voices in technical decisions

Supporting Responsibilities:

• Maintain Confluence documentation of design decisions, findings, finalized definitions

• Pursue sign-offs from stakeholders to keep work moving

• Coordinate cross-team handoffs between Data Services and Data Platform

What You’ll Work With

Databricks

• Work in Databricks notebooks to query and explore data catalog

• Use Genie Code (AI-assisted coding) to help enable your data discovery

• Understand the platform well enough to communicate with technical teams

• Prior Databricks experience NOT required - SQL + willingness to learn is sufficient

AI/LLM Proficiency

• Frequent use of LLM agents to coordinate efforts across teams

• Tools such as Claude, ChatGPT, GitHub Copilot, Cursor, etc.

• Use AI to accelerate drafting of requirements, analyzing Slack threads, generating ticket structures, exploring data

• Why this matters: Our enterprise teams (RevOps, Finance, Product) are AI-enabled and generating more requests faster. You’ll need to use AI tools to support both our Data Platform and Data Services teams.

Microsoft 365 Suite (Proficient)

• Schedule and coordinate meetings across stakeholders

• Manage documents via OneDrive/SharePoint

• Create presentations for leadership

• You’re a power user, not just a casual user

Excel Advanced

• Build models, use formulas when necessary

• Work with Finance stakeholders who live in spreadsheets

• Translate spreadsheet logic into data requirements

Jira / Ticketing Systems

• Experience creating well-structured epics and tickets

Diagramming Tools

• Familiarity with tools such as Miro, Lucid, Gliffy, Visio etc.

Data from Enterprise Systems of Record

• Explore and reference data from systems such as Salesforce,

Qualifications

Experience:

• 5-7 years as a Business Analyst, Technical BA, or similar role

• Experience working with technical teams (data, engineering, platform)

• Track record of translating business needs into technical requirements

• Comfortable in fast-paced environments

Technical Background:

• Experience with data platforms, BI tools, or analytics environments

• Understanding of software development and data development concepts at an enterprise scale

• AI/LLM tool proficiency

• Prior Databricks experience is not required – Database experience + willingness to learn is sufficient

Soft Skills:

• Stakeholder Management: Navigate competing priorities across multiple business units

• Requirements Elicitation: Ask clarifying questions that uncover hidden needs

• Communication: Clear written documentation and verbal communication

• Self-Direction: Proactive, doesn’t wait for assignments, identifies next steps

• Project Coordination: Keep multiple initiatives moving

Fleetworthy is committed to fostering a diverse and inclusive culture that is respectful and welcoming of individual differences. We are proud to be an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations.

The Role: You, the Analytics Manager of our dreams, are the connective tissue between business strategy, customer behavior, experimentation, and measurement. You understand that modern analytics goes far beyond implementation. It requires helping clients navigate increasingly fragmented, AI-influenced customer journeys while building measurement strategies that drive confident decision-making.

This is an Account Manager role at Seer. You are a client-facing practitioner who owns relationships, drives strategy, and delivers results. You are equally comfortable discussing data layers and tag governance as you are facilitating conversations around KPIs, GEO test design, incrementality, and business outcomes.

The work splits roughly 60% traditional analytics and 40% GEO. On the analytics side you will architect measurement solutions, audit and QA implementations, and build frameworks that tie data to business outcomes. On the GEO side you will help clients measure visibility and performance across AI-powered search experiences, design and evaluate Test & Learn programs, and translate emerging signals into strategy. GEO measurement is a young discipline and we are building this capability together. What matters is your curiosity and analytical instincts, not existing GEO credentials.

Across both, you are AI-native. You use AI daily as a working partner, and you build systems, not just deliverables.

Role Highlights

Traditional Analytics (60%)

• Strategize and architect large-scale digital analytics implementations for a handful of clients, primarily on platforms like Google Analytics 4 and Adobe Analytics
• Audit new and existing implementations to identify gaps, find technical issues with code or configuration, and recommend the best feasible solution
• Build measurement frameworks that move clients beyond sessions and conversions toward metrics that reflect real business outcomes and nonlinear customer journeys
• Confidently implement analytics and marketing tags through Tag Management Systems, and meet with developers, IT, and clients to design solutions that fit their needs
• Write clear technical documentation for team members, clients, and developers

GEO (40%)

• Partner directly with clients to develop and operationalize GEO measurement strategies across AI-powered search experiences
• Support Seer’s GEO Test & Learn initiatives by defining hypotheses, establishing testing methodologies, identifying success metrics, and evaluating causal relationships between marketing activities and business outcomes
• Distinguish correlation from incrementality through thoughtful experimental design and analytical rigor
• Work cross-functionally with SEO, Paid Media, Creative, and Data teams to evaluate how AI-driven experiences influence awareness, behavior, conversion, and loyalty
• Help clients evolve beyond traditional funnel reporting toward modern measurement frameworks that reflect nonlinear customer journeys
• Present findings, recommendations, experimentation outcomes, and strategic insights directly to client stakeholders and executive audiences

Essential Skills

• You have advanced analytics implementation expertise involving behavioral tracking, ecommerce measurement, experimentation frameworks, and business outcome measurement
• You have experience aggregating data and building dashboards in LookerStudio, PowerBI, and Tableau
• You bring a sense of true curiosity to analytics work that drives you to not just report on what happened, but to dig into the why and what’s next
• You are comfortable discussing incrementality, lift analysis, holdout methodologies, and causal inference concepts
• You work effectively in AI tools, particularly Claude, to accelerate analysis, structure findings, and produce client-ready outputs as a daily working partner
• You are naturally inclined to automate, improve, and simplify wherever possible, and you build prompts, workflows, agents, and repeatable systems that amplify impact
• You take ownership of ambiguous problems, break them into actionable next steps, and bring solutions rather than just questions
• You have strong organizational and project management capabilities and can manage your own workload and deadlines in a tool like Wrike, managing up when you hit blockers or competing priorities
• You communicate effectively with technical and non-technical stakeholders, including translating data findings into executive-ready narratives
• You have a genuine curiosity about emerging AI technologies and how they impact discoverability, customer behavior, and digital measurement
• You have a strong sense of self, which means you can say no, deliver feedback, and confidently present the value you are driving for clients, even when things get challenging
• You have a passion for mentoring teammates and elevating data literacy and analytics capabilities across teams

Bonus

• You have experience with Python, R, or data transformation workflows
• You have early exposure to GEO, LLM visibility tracking, or AI search measurement
• You have experience building automations, AI workflows, agents, or internal tools
• You have experience in a consulting or agency environment

30/60/90

First 30 Days — Learn

• Develop a strong understanding of Seer’s analytics methodologies, client portfolio, and AI/GEO measurement philosophy
• Complete onboarding, shadow existing work, and start building relationships across analytics, strategy, and client teams
• Begin contributing to implementation audits, QA processes, and measurement strategy engagements
• Identify one quick win you can improve right away, such as a report, process, or visualization

60 Days — Build

• Independently manage analytics workstreams across multiple client engagements
• Own a client-facing deliverable end to end, from data pull to presentation
• Participate in GEO measurement initiatives and experimentation planning sessions, supporting hypothesis creation, KPI selection, and test design
• Begin contributing AI-assisted workflows or automations that improve how the team works

90 Days — Lead

• Lead measurement strategy conversations with clients
• Independently support GEO Test & Learn engagements from planning through analysis, helping clients interpret outcomes and translate them into next steps
• Have at least one scalable system, dashboard, or tool in production that creates lasting value
• Be a visible contributor to Seer’s analytics practice, sharing ideas, improving processes, and helping shape what AI-native analytics looks like here

This might not be the right role for you if….

• Time management, context switching, and juggling multiple projects is quite challenging
• You do not want continued learning and innovation to be an expectation
• Change management is difficult and you struggle with adapting to new tools and processes

$78,000 - $98,000 a year

• Your final offered compensation will be determined by your skills and experience

• Evaluation of comp at least once a year

• Benefit highlights

Ready to apply? Ditch the cover letter, we don’t need it. We’d rather see your AI chops. Use our Marketing Career AI Self-Assessment GPT to find out where you land on the AI marketing maturity curve and share your results with us. Our team is excited to read your application responses and will be using them to help determine who we’d like to meet with!

Have questions about recruitment at Seer? Check out our Custom GPT: Guide to Talent Acquisition at Seer to drop in your questions! You can ask it anything about our hiring process, and how to best prepare for an interview with us.

As a B-Corp Certified organization, we are committed to creating an inclusive environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Not ready to apply but want to keep in touch? Stay connected via our monthly Career Update newsletter! We’ll share curated content on Seer, open roles, industry insights, career advice, events you don’t want to miss, and more (so you never miss a beat).

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The role: What’s in the Box

We’re looking for a Demand Planner who is comfortable working with data and is eager to develop their forecasting skills in a fast-paced supply chain environment. This is a hands-on analytical role: you’ll spend your time writing SQL, building reports, validating forecasts, and learning how demand planning drives operational decisions.

You’ll support the demand signal that drives every operational decision at HelloFresh, from how much food we order to how many staff we schedule and how many trucks we book. Your work directly contributes to reducing food waste, improving product availability, managing labour costs, and protecting customer experience for millions of meals across Europe.

Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will contribute to that transformation, supporting the build of next-generation forecasting capabilities while helping keep daily supply chain execution accurate.

What you’ll do: The Recipe

• Own the day-to-day data validation and QA process across demand data pipelines. You are the first line of defence for forecast reliability, identifying anomalies, flagging data breaks, and ensuring inputs are clean before they reach the plan.
• Build and maintain automated alerting for data quality issues, missing feeds, and forecast anomalies so problems are caught early, not after Operations has already acted.
• Investigate discrepancies between forecast and actuals, documenting root causes and maintaining a log of known data issues to prevent recurrence.
• Write and maintain SQL queries to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, Snowflake).
• Support the development and refinement of forecasting models, applying statistical techniques under guidance from senior analysts, learning to work with trend, seasonality, and promotional adjustments.
• Build and maintain dashboards and automated reporting using visualisation tools (e.g., Tableau) that give stakeholders access to demand insights, including key operational KPIs such as forecast accuracy, bias, waste risk, and availability.
• Work alongside forecast engineers and senior analysts to support scalable pipelines, helping ensure local market nuances are handled within the unified codebase.
• Use AI tools (e.g., Gemini, Claude) to speed up everyday tasks like writing SQL, debugging queries, and summarising data, we encourage experimentation with AI as part of how the team works smarter.
• Support the generation and validation of daily and weekly demand plans for European markets. You’ll help ensure the Decision-Time forecast is accurate at the exact moment Procurement and Production need to act.
• Monitor trends, seasonality, and promotional impacts. Flag when the plan may need adjusting and escalate where appropriate.
• Track forecast performance against operational KPIs, accuracy MAPE, bias, and their downstream impact on waste, availability, and fulfilment, and surface insights that help the team improve.
• Participate in the weekly S&OP planning cycle, preparing materials and analysis for meetings with Market Leadership, Logistics, Production, and Procurement.
• Help ensure growth campaigns and promotions from Marketing are reflected in the demand view before they hit the supply chain.
• When deviations occur, support root-cause analysis: pull the data, quantify impact on waste and service levels, and help senior analysts deliver actionable insights.

What you’ll bring: The Ingredients

• 2–3 years in Demand Planning, Supply Planning, Supply Chain Analytics, or a related analytical role. Exposure to e-commerce, food retail, or FMCG is a plus, perishable or short shelf-life experience is a bonus.
• Strong technical skills in SQL, Excel, PowerBI (or Tableau). Python is a plus.
• Familiarity with forecasting concepts: you understand what bias and accuracy metrics (e.g., MAPE, WAPE) mean, why they matter, and how they connect to operational outcomes like waste and availability.
• Curiosity about forecasting in environments with limited historical data (newer markets, product launches) and willingness to learn techniques like proxy data and trend smoothing.
• Awareness of demand and supply risks and eagerness to learn how mitigations (buffers, caps, swaps) work in practice.
• Comfortable using project tools like JIRA/Confluence for tracking tasks and contributing to improvement backlogs.
• Good communication skills: you can present data clearly and explain what the numbers mean to both technical and non-technical colleagues.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

What we offer: The Toppings

Compensation & Financial Wellbeing

• Enjoy 20% off HelloFresh and 40% off Factor_ subscriptions.
• Access the “ Benefits at Work” platform for discounts on brands like Nike, Bol.com, and IKEA.
• You’ll receive a HelloFresh laptop, a €250 home office setup budget, and contribute to the Bedrijfspensioenfonds Levensmiddelen pension scheme (2026 rate 27.6%; employer pays 19.64%, employee pays 7.96%).

Health & Wellbeing

• Benefit from discounts on ClassPass and gym memberships via Bedrijfsfitness Nederland, free bootcamp classes (Amsterdam), and free subscriptions to Headspace and OpenUp.
• Get a 7,5% discount on additional health insurance at Zilveren Kruis in 2025.

Flexibility & Work-Life

• Work flexibly with our hybrid setup (50% office, 50% remote), plus a €2.45 daily remote work allowance.
• Receive 24 days of annual leave (pro-rated), plus one additional day per year of service (up to 30 days total).
• Full reimbursement for 2nd-class public transport to the office, plus €0.23 per km for car and bicycle travel.
• Eligible employees can work from another country for up to 8 weeks per year.

Career & Development

• Grow with our “Learning Never Stops” mindset:  access internal/external opportunities, and join our cross-market mentoring program.
• A dedicated annual budget to help you keep learning, developing new skills, and growing your career.

Culture & Environment

• Enjoy fresh homemade lunches in the office (€3.00/day), weekly vrij-mi-bo (Friday drinks), quarterly strategy sessions, and team events.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Remote

Travel Requirements: 2 to 4 times per year

Job Summary

We are seeking an experienced and visionary Senior Analytics Engineer to design, build, and own end-to-end data solutions for our Core products, spanning data ingestion, modeling, semantic layer development, and final user experience.

In this role, you will help establish and scale analytics foundations by partnering on and implementing data pipelines that integrate data from internal and external business systems while developing governed, analytics-ready models and semantic layers that power trusted metrics and insights. This position offers an exciting opportunity to contribute to critical, strategic initiatives and shape the future of analytics, data visualization, and reporting within our Core Products organization.

What You’ll Do

Data Visualization & Report Development

• Own the development, maintenance, and delivery of analytics-ready data platforms, driving data management best practices to deliver clean, standardized, and well-documented data assets using Snowflake, dbt, and Looker.
• Foster strong partnerships with business stakeholders to understand requirements and deliver actionable analytics and reporting that surface key provider sales, operational, and business performance metrics, trends, and insights.
• Partner with the Data team during the design, build, and testing of certified datasets in dbt and Snowflake, including the ingestion, transformation, and modeling of data from internal and external business systems.
• Oversee the design and development of interactive and performant analytical experiences, with primary ownership of Looker dashboards, Explores, and semantic models supporting provider sales, commercial, and operational analytics.
• Design and maintain analytics models and metrics supporting provider sales performance, including pipeline, revenue, customer engagement, operational KPIs, and other key business performance metrics.
• Formulate and implement techniques for auditing and evaluating data collection quality, ensuring adequacy, accuracy, and legitimacy of data.
• Identify, design, and implement internal process improvements, such as optimizing data delivery and redesigning tools and data models for maximum impact.
• Mentor and support the growth of junior team members through coaching, knowledge sharing, and regular feedback.
• Champion and uphold data governance practices by promoting data quality, documentation standards, and consistent metric definitions across data models, semantic layers, and reporting tools.

Stakeholder Engagement

• Be infinitely curious about data and build actionable insights through a deep understanding of the business and the data we collect.
• Drive a culture of storytelling through data by enabling consistent, trusted, and well-modeled datasets that empower self-service analytics and informed decision-making.
• Lead cross-functional collaboration with business leaders, analysts, data scientists, and engineers to understand analytical needs and architect data models and analytics pipelines that support provider sales, commercial operations, and strategic business objectives.
• Provide technical leadership and guidance on data visualization enablement by ensuring robust backend data structures that support intuitive, performant dashboards.
• Advocate for and implement best practices in semantic modeling, metric standardization, and reporting infrastructure to promote an insight-driven culture.
• Own and evolve governance frameworks and development processes within the visualization and reporting space to ensure data quality, maintainability, and long-term scalability.

What We Need

• 5+ years in a related data visualization or data engineering role.
• Proficiency in Looker and LookML, with experience using other business intelligence platforms such as Tableau or Power BI.
• Hands-on experience building and maintaining analytics models using dbt and Snowflake.
• Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Experience working within agile development methodologies and collaborative project delivery practices.

Desired Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.
• Experience with workflow orchestration tools such as Apache Airflow.
• Experience partnering with sales teams to deliver analytics, reporting, and data-driven insights.
• Knowledge of statistical analysis and data mining techniques.
• Previous experience partnering with cross-functional teams to support analytics and reporting needs.
• Healthcare industry experience

What You’ll Need to Succeed

• Strong communication skills, both verbal and written.
• Highly organized with excellent attention to detail.
• Ability to work independently and as part of a team.
• Sense of urgency to learn and take on new challenges.
• Ability to manage stakeholder expectations and requirements to deliver governed, flexible analytics assets that align with enterprise best practices.

Base Salary Band: $73,539.55 to $165,000

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.

#LI-ED1 #LI-Remote

About PatientPoint: PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com.

Latest News & Innovations:

1. Why is PatientPoint a Best Place to Work! Read More
2. Teammate Honored as “Top Woman in Tech”. Read More
3. Recognized on Vault’s Top Internship List. Read More

What We Offer:

We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About the role

This is a senior and highly influential role built around judgment, strategic impact, and deep analytical craft. It starts with genuine understanding of our customers, our business, and the dynamics that drive growth. That understanding is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn’t seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built.

The AI infrastructure we’ve built changes what’s possible for someone in this role. Mechanical analysis moves faster than ever. That frees you to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We’re further along than most, but there’s no finished playbook for this yet. You’d be shaping it.

You go deep in analytics, experimentation, and growth. AI gives you the reach.

You’ll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. Nobody has fully cracked how AI transforms product analytics. We’re moving fast, the foundations are real, and there’s room to have massive impact from day one. If you want to be one of the people who shapes how this gets done, this is the role.

Duties and Responsibilities:

• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you’re in the room.
• Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.
• Experimentation at portfolio scale. Own experiment strategy across your product areas: design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.
• AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output: validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.
• Connecting dots no one else sees. You operate across product areas, experiments, and data sources: surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth.
• Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster: you make it the team’s new baseline.

Qualifications and Skills:

• 8+ years of product analytics experience in consumer-facing, high-growth environments
• You don’t wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst: not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
• You’ve changed what gets built, not just reported on what shipped.
• Deep expertise in experiment design, causal inference, and power analysis: combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
• You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
• Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations: not because you’ll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something’s off.

#LI-Remote #LI-MB1

The US national base salary range for this full-time position is $166,000 - $260,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.

You can find further details of our US benefits at https://www.ethoslife.com/careers/

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com. We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.