The Role
Own analytics for marketplace matching systems, defining metrics, running A/B experiments, applying causal inference, modeling user behavior, and monitoring marketplace efficiency. Translate findings into recommendations for matching and ranking algorithms, partnering with Data Science and Engineering on production improvements. Build dashboards and analytical tools to improve visibility into marketplace health, supply-demand balance, user responses, and matching quality.
Summary Generated by Built In
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.
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
- 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.
About
inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 48 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs. Ready to ignite your inner drive?
Skills Required
- 3+ years of experience in product analytics, marketplace analytics, data science, or algorithmic product optimization
- Strong background in probability theory and mathematical statistics
- Experience with experimentation and A/B testing
- Experience with causal inference
- Understanding of marketplace dynamics, including supply-demand balance and matching or dispatch systems
- Ability to develop measurable hypotheses and decision-ready recommendations from ambiguous problems
- Proficiency in SQL and Python
- Experience with marketplaces or matching/dispatch systems
- Experience with auction mechanics, economic models, or incentive-aware matching
- Familiarity with discrete optimization, online optimization, or reinforcement-learning-inspired real-time decision systems
- Experience working with large-scale, high-load production environments
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The Company
What We Do
inDrive is a global IT and transportation platform inDrive is one of the world’s fastest growing online ride-hailing services. Its services are available in over 749 cities in 46 countries throughout the world. The Company’s app has been downloaded over 150 million times. inDrive offers other services, including intercity transportation, freight and cargo services, as well as delivery services in different markets of operations. inDrive is based in Mountain View, California, and operates regional hubs in the Americas, Asia, the Middle East, Africa and the countries of the CIS, and employs over 2,000 people. In early 2021, inDrive achieved unicorn status after closing a $140m investment round with Insight Partners, General Catalyst, and Bond Capital, which valued the company at $1.23 billion.
