Senior Product Analyst — Fintech

Senior Product Analyst — Fintech Department: Technology Employment Type: Full Time Location: Cyprus Description At inDrive, we're not just building a ride-hailing app — we're building a financial platform at global scale. Our lending product is one of the fastest-growing verticals in the company. We're looking for a Senior Product Analyst who thrives where data work directly drives product and revenue decisions. This is a rare combination: the stability of a well-funded global company with the speed and ownership of an early-stage product. If you want your analysis to shape a product used by millions, we'd love to talk. Key

Responsibilities Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage Surface growth opportunities — dig into data to find product directions worth betting on Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built Skills, Knowledge and Expertise 3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers Strong statistical foundation: A/B testing, causal inference, time series Advanced SQL — comfortable writing and optimizing complex queries across large datasets Python proficiency — pandas, numpy, and the rest of the standard data stack Experience with BI and visualization tools: Redash, Tableau, or similar Structured thinking and a product mindset — you balance analytical rigor with business pragmatism

Bonus: background in fintech, lending, or marketplace products at scale English: Professional Working Proficiency Conditions Stable salary, official employment Health insurance Hybrid work mode and flexible schedule Access to professional counseling services, including psychological, financial, and legal support Discount club membership Diverse internal training programs Partially or fully paid additional training courses All necessary work equipment