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Designs data models, develops dashboards and reporting solutions, automates business processes, and ensures data quality and governance for enterprise analytics.
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.
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.
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
Ready to drive with Continental? Take the first step and fill in the online application.
Designs and maintains data models, develops dashboards and reports, automates business processes, and ensures data quality and governance for a shared service center.
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.
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.
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
Ready to drive with Continental? Take the first step and fill in the online application.
Designs and operates the credit fund's data and automation stack, combining SQL/Python engineering with portfolio analytics and underwriting decisions.
We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund’s entire data and automation stack end to end — and then own it as the fund goes live.
The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.
Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.
If you’re passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.
Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.
Phase 1: Build (through first close)
Deal pipeline management
- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.
- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.
Scoring and underwriting data layer
- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.
- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.
- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.
Fundraising / LP pipeline
- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.
- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.
Investor and borrower dashboards
- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.
- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.
Reliability, cost, and security of the stack
- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.
- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.
- Documented runbooks and handover-ready documentation as part of “done” — the stack must be operable by someone other than its author.
Phase 2: Operate (post-close)
- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.
- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.
Client and investor facing
This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.
- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).
- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.
- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.
- Workflow orchestration experience (n8n, Airflow, or comparable).
- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.
- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.
- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.
- Strong written and spoken English; comfortable presenting to senior external audiences.
- Direct exposure to private credit, lending, or fund operations.
- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).
- Experience with embeddings / semantic search and multi-model AI setups.
- Web development ability (React / TypeScript or similar) for internal tools and dashboards.
- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to [email protected].
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.
Senior Data Analyst provides actionable analytics and insights to business partners while scaling growth and adoption analytics initiatives across the organization.
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: London
About the Team
The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations.
Our goals are to:
DIA is a ~ 75-member strong geographically distributed but organizationally centralized team. This role is within the growth & adoption analytics pod based in London that works across several business functions, offering broad exposure to Cloudflare’s entire business.
Role Summary
We are looking for an experienced Senior Data Analyst in London to scale our growth & adoption analytics initiatives. You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets.
Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption. This role also requires a deep understanding of data infrastructure, job orchestration, and lineage, all with the use of AI-tooling as default.
Role Responsibilities
Role Requirements
Nice-to-Have Experience
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Â Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Â If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Data Scientist designs and builds ML models for recommendation and ranking algorithms, taking end-to-end ownership from design through production deployment and maintenance.
Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US
As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users — and building agentic AI systems alongside it.
The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.
To thrive in this role, you’ll need:
Bonus points if you have:
How you’ll make an impact:
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
#LI-RT1
#LI-Hybrid
The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.
Base Salary Pay Range
$138,500—$185,000 USD
Design, build, and deploy machine learning models for recommendation and ranking algorithms serving 600M+ daily users, with end-to-end ownership from prototyping to production maintenance.
Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US
As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users — and building agentic AI systems alongside it.
The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.
To thrive in this role, you’ll need:
Bonus points if you have:
How you’ll make an impact:
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
#LI-RT1
#LI-Hybrid
The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.
Base Salary Pay Range
$138,500—$185,000 USD
