We are looking for a Senior Product Analyst (Matching) to measure, understand, and improve the matching systems that power our marketplace. You will own the analytical view of how supply, demand, and marketplace efficiency behave under uncertainty and dynamic conditions, and turn that understanding into decisions that shape our matching and ranking algorithms. Unlike traditional dispatch-based matching, our marketplace operates on a unique bid-based model, where rider–driver connections are shaped through direct negotiation. This creates a fundamentally different analytical problem, requiring rigorous approaches to measuring user behavior, response dynamics, and marketplace incentives. Key Responsibilities Define and evolve the metrics framework for matching quality, marketplace balance, and efficiency Design, run, and analyze A/B experiments to evaluate the impact of matching and ranking changes on marketplace efficiency and user experience Apply causal inference to isolate the effect of matching decisions on supply, demand, and user response Analyze and model user behavior and response dynamics in a bid-based marketplace Translate analysis into clear, actionable recommendations that inform matching and ranking algorithm design Monitor marketplace health — balance, feedback effects, and long-term matching quality — surfacing risks and opportunities early Partner with Data Science and Engineering to shape algorithmic improvements and validate their impact in production Build dashboards and analytical tooling that make matching performance observable and understandable across teams Skills, Knowledge and Expertise 3+ years in product analytics, marketplace analytics, data science, or algorithmic product optimization, preferably in marketplaces or matching/dispatch systems Strong background in probability theory, mathematical statistics, experimentation (A/B testing), and causal inference Solid understanding of marketplace dynamics (supply/demand balance, matching/dispatch) Ability to move from an ambiguous problem to measurable hypotheses and clear, decision-ready recommendations Proficiency in SQL and Python for analysis Nice to Have Experience with auction mechanics, economic models, or incentive-aware matching Familiarity with discrete optimization, online optimization, or RL-inspired / real-time decision systems (conceptual understanding is enough) Experience working with large-scale, high-load production environments Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 59 200 gross Final benefits may vary depending on the location.