Senior Product Analyst — A/B Platform
inDrive · Almaty, Kazakhstan
IT Services and IT Consulting · 1,001-5,000 employees
About the role
Design and evolve the experimentation framework across various product lines including ride-hailing and fintech. Partner with engineers to implement scalable statistical methodologies and drive adoption of advanced experimentation tools.
What they look for
Requirements
Requires 5+ years of experience in analytics, data science, or experimentation roles with a strong foundation in statistics and causal inference. Proficiency in SQL and Python is essential, along with the ability to communicate complex statistical concepts to non-technical stakeholders.
Benefits
Full description
Senior Product Analyst — A/B Platform
Department: Technology
Employment Type: Full Time
Location: Kazakhstan
Description
InDrive is a global ride-hailing and transportation company that emphasizes freedom and user-centered choice. We are running hundreds of experiments to make our products even better and the experimentation platform is at the heart of this rapidly evolving process.
We are looking for a Senior Experimentation Platform Analyst who will significantly improve InDrive’s experimentation platform, enhance our A/B testing capabilities and make our data-driven decisions more reliable and trustworthy.
Key Responsibilities
- Design and evolve the experimentation framework used across inDrive’s products (ride hailing, delivery, fintech etc.)
- Build and validate statistical methodologies for:
- A/B and multivariate testing
- Switchback testing
- Regional causal inference approaches
- Solve complex causal inference problems:
- Network effects, interference, non-compliance
- Long-term and delayed effects
- Heterogeneous treatment effects across markets
- Partner closely with engineers to translate statistical logic into scalable, production-ready systems
- Enable product teams by creating clear decision frameworks, metrics standards, and experiment review processes
- Drive adoption of advanced tools (e.g. CUPED, variance reduction, causal models)
Skills, Knowledge and Expertise
- 5+ years of experience in analytics, data science, or experimentation-heavy roles
- Strong foundation in statistics, probability, and causal inference
- Hands-on experience with A/B testing at scale
- Advanced SQL and Python (experience with experimentation or causal libraries is a plus)
- Ability to explain complex statistical ideas to non-technical stakeholders
- Product mindset: you care about decisions, not just numbers
- Curiosity, rigor, and the courage to challenge “obvious” conclusions
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
Final benefits may vary depending on the location.
