The Role
The Senior Product Analyst will define product KPIs, optimize credit funnels, identify growth opportunities, model project profitability, and run A/B experiments. The role includes pricing analysis across rates, terms, and eligibility; building data marts and analytics documentation; ensuring reliable product data; and translating statistical findings into product and business decisions. Advanced SQL, Python, statistical analysis, BI tools, and product analytics experience are required, with fintech or lending experience preferred.
Summary Generated by Built In
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.
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
Why join us
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 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
- Salary from 70 700 EUR 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 47 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 or data science
- Track record of influencing product decisions
- Strong statistical foundation, including A/B testing, causal inference, and time series
- Advanced SQL skills, including writing and optimizing complex queries across large datasets
- Python proficiency, including pandas and NumPy
- Experience with BI and data visualization tools such as Redash or Tableau
- Structured thinking and a product mindset
- Professional working proficiency in English
- Background in fintech, lending, or marketplace products at scale
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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.
