Own payments analytics across the full lifecycle, from checkout and authorization to refunds, chargebacks, and long-term revenue impact;
Act as the analytical partner for payments product owners, engineers, and stakeholders, translating complex business questions into clear, actionable analyses;
Design and build end-to-end analytics solutions, including data modeling, metric definitions, dashboards, deep-dive analyses, and decision frameworks;
Define and maintain core payments metrics (e.g. approval rates, decline reasons, fraud signals), ensuring consistency and trust across the organization;
Drive experimentation and analysis around payment methods, pricing, routing, PSP performance, and checkout UX;
Proactively surface insights, risks, and opportunities that materially impact revenue, costs, and customer experience;
Contribute to product analytics standards around data quality, documentation, reproducibility, and analytical best practices within the Product Data Team.

Requirements

Strong hands-on experience in product analytics within SaaS, consumer apps, or digital products, ideally with exposure to payments, billing, or monetization;
Advanced SQL skills and confidence working with large-scale, event-level datasets;
Experience with modern analytics stacks and workflows (e.g. dbt, Looker / Tableau, Git);
Proven ability to turn messy, ambiguous product or business problems into structured analytical workstreams with clear outcomes;
Solid understanding of experimentation, funnel analysis, cohort analysis, and causal thinking;
Excellent communication skills: you can explain complex analytical findings clearly, concisely, and in a way that drives decisions.

Benefits

Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development;
Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts and a physical coach to health insurance and regular mental health checks;
Tools of your choice: choose the technical equipment and tools you need to do your best work;
Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
Work-life balance: We encourage working in the office, with the possibility of up to two remote days per week. Plus, with our WFA policy, you can work from almost anywhere in the world;
More days off: additional vacation days depending on your tenure;
Premium Surfshark accounts: for you, your family, and friends;

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

product analyticsSQLdata modelingmetric definitionsdashboardsdeep-dive analysesfunnel analysiscohort analysiscausal thinkingexperimentation

communicationanalytical thinkingproblem-solvingcollaborationinsight generation