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Senior analyst builds fraud prevention models, runs experiments, and develops AI-powered dashboards to drive risk decisioning at a ticketing platform.
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.
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.
Develops and implements data science models to detect fraud and assess risk for a mobile subscription monetization platform.
Analyzes large datasets using SQL and BI tools to derive strategic insights, interpret statistical findings, and communicate data-driven recommendations to clients across commercial, political, and nonprofit sectors.
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:
Tools of the Trade
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:
Such other reasonable tasks may be assigned by management.
What we are seeking
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:
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.
Analyzes insurance business problems, gathers requirements, designs processes, creates test scenarios, and delivers actionable insights to support digital platform implementations.
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
CoverGo Company Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.
Leads strategic analytics projects by analyzing large datasets, interpreting statistical findings, and communicating insights to clients across commercial, political, and nonprofit sectors.
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:
Tools of the Trade
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:
Such other reasonable tasks may be assigned by management.
What we are seeking
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:
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.
Standardizes and documents Google Sheets-based workforce analytics models, audits dependencies, and creates documentation to improve reliability and maintainability for planning and forecasting workflows.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Develops fraud detection and risk models using data science techniques to protect RevenueCat's subscription platform.
Architect and maintain data pipelines, build BI models and dashboards, ensure data quality, and operationalize ML models to support analytics and business intelligence across the organization.
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.
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.
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.
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).
Design and build end-to-end data solutions including pipelines, modeling, and Looker dashboards to deliver analytics and insights for healthcare products.
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
Stakeholder Engagement
What We Need
Desired Qualifications
What You’ll Need to Succeed
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:
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
Senior data governance analyst oversees data policies, compliance, and quality standards across organizational data assets.
Manages clinical data collection, validation, and reporting for life sciences research studies and pharmaceutical trials.
Build and maintain data pipelines, models, and analytics frameworks that power compliance detection systems and regulatory controls.
Headquarters: Remote - USA
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use.
What you'll do:
Required skills and experience:
Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):$167,280—$196,800 USD
To apply: https://weworkremotely.com/remote-jobs/coinbase-senior-analyst-compliance-technology
Designs and builds scalable data models, ETL pipelines, and analytics infrastructure to enable data-driven decision-making across the organization.
Headquarters: Remote - USA
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
As a Senior Analytics Engineer on the Platform team, you'll build the scalable data models and pipelines that power analytics, experimentation, and decision-making across Coinbase. Our Analytics Engineering team transforms raw data into trusted, well-modeled sources that stakeholders across Product, Engineering, and Data Science rely on daily. You'll own end-to-end data solutions for specific business domains, turning complex data flows into clean, reusable frameworks that unlock commercial value at scale.
What you'll do:
Required Skills and Experience:
Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):$180,370—$212,200 USD
Senior Data Scientist designs revenue calibration models, causal inference experiments, and LLM-powered classification pipelines to measure customer support impact on retention and product adoption.
Headquarters: Remote - USA
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
As a Senior Data Scientist on the CX Consumer Analytics team, you will serve as the foundational link between CX operations and top-line financial impact, owning the revenue calibration models, experimentation frameworks, and behavioral intelligence that connect every customer support interaction to Coinbase's asset accumulation flywheel. You will partner closely with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into defensible, executive-ready insights that drive measurable improvements in retention, product adoption, and automation quality.
What you'll do:
Required Skills and Experience:
Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):$180,370—$212,000 USD
To apply: https://weworkremotely.com/remote-jobs/coinbase-senior-data-scientist-cx-analytics
Designs and maintains data pipelines and analytics infrastructure to support business intelligence and decision-making at an AI-powered real estate platform.
Builds and maintains analytics infrastructure and data pipelines to support business intelligence and data-driven decision-making for an AI-powered real estate platform.
Designs and maintains data infrastructure and analytical systems to support business intelligence and decision-making.
Designs and maintains data pipelines, analytics infrastructure, and reporting systems to support business intelligence and decision-making.
Senior business analyst bridges stakeholders and engineering teams by gathering requirements, mapping workflows, creating user stories, and leading UAT for a cloud-native pension administration system.
The Teachers’ Retirement System of Oklahoma (TRS) is undertaking a comprehensive, multi-year modernization initiative to replace legacy platforms—including full retirement of the legacy ALICE platform—and transition to a unified, cloud-native environment.
WiredPeople is seeking a Senior IT Business Analyst / Systems Analyst to play a vital role in building MyPAS 3.0, a modern Azure-hosted pension administration system that integrates with the MyTRS member portal and MyERS employer portal. TRS serves over 210,000 active members and retirees across more than 600 school districts, higher education institutions, and career tech centers.
In this role, you will bridge the gap between business stakeholders and engineering teams. You will drive process discovery, map complex workflows, translate operational needs into detailed Azure DevOps user stories, and support user acceptance testing (UAT) to ensure smooth delivery.
Engage with TRS business units to analyze current operational workflows, identify pain points, and define future-state operational models.
Interface with developers, architects, and IT staff to translate technical dependencies into functional requirements.
Document current and future state processes using structured techniques, including swimlane diagrams, process maps, and workflow diagrams.
Translate complex business requirements into clear, testable functional specifications, acceptance criteria, and Azure DevOps work items.
Partner with Product Owners and technical teams to refine, prioritize, and validate backlog items.
Ensure all documented requirements meet quality standards and align with organizational priorities.
Develop comprehensive test plans, scripts, and step-by-step instructions for functional and user acceptance testing.
Execute functional testing in Development and Test environments to validate feature readiness prior to release.
Log and track software defects, coordinate resolution efforts with developers, and re-test fixes.
Lead and support business stakeholders during User Acceptance Testing (UAT) sessions.
Act as the primary liaison between business units and technical development teams to maintain shared alignment.
Provide proactive project updates, communicate risks, and address requirement ambiguities early.
Contribute to change management efforts by developing user manuals, documentation, and training guides.
Business Analysis & Documentation: Proven experience in IT business analysis, process modeling, and system workflow documentation.
Agile & DevOps Workflows: Hands-on experience drafting user stories, acceptance criteria, and backlog items in Azure DevOps or similar ALM tools.
Testing & QA: Demonstrated experience in functional test execution, bug tracking, test case creation, and UAT coordination.
Problem Solving & Facilitation: Exceptional analytical skills with the ability to facilitate discovery sessions and resolve requirement bottlenecks.
Communication: Superior written and verbal communication skills, capable of translating technical jargon for business users and vice versa.
Work Location: Remote / Oklahoma City, OK.
Schedule: Core hours are 8:00 AM – 5:00 PM CT, with flexibility upon approval from the TRS Project Manager.
On-Site Attendance: Occasional in-person attendance in Oklahoma City may be required for key project milestones or workshops.
WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Senior Research Statistician designs and analyzes clinical trials, develops statistical analysis plans, and ensures data quality and reporting accuracy for oncology research studies.
About AbbVie
AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
The Senior Research Statistician, Statistics is responsible for providing statistical support to the research and
development organization. Specific areas of work will include clinical trial work. The Senior Research Statistician works in partnership with experts in multiple disciplines to advance medicines to our patients.
Major Job Responsibilities
• Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with
development of protocols and/or statistical analysis plans with details for programming
implementation. Work under supervision to implement sound statistical methodology in scientific investigations.
• Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or
violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.
• With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.
• With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of
statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research.
Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures.
Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.
• Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.
Minimum Qualifications:
Preferred Qualifications:
Other Required Skills:
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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