Analyze a B2B SaaS ride-hailing product and help partners grow revenue.
Responsibilities:
- Research partner businesses, identify growth opportunities, and build unit economics models.
- Improve marketplace efficiency by optimizing pricing and order distribution.
- Improve rider and driver acquisition, activation, retention, and service quality.
- Launch changes and measure their impact using control groups and other experiment designs.
- Automate successful changes using scripts, workflows, and APIs, with logging and safeguards.
- Improve pricing and order distribution algorithms, research user behavior, estimate feature impact, and design and analyze A/B tests.
- Build reports and dashboards, develop metric definitions, and answer data questions.
- Use AI tools and help build AI-assisted analytics.
Requirements:
- 4+ years of experience in product or data analytics and a quantitative degree.
- Strong SQL and Python skills, including pandas, numpy, scipy, scheduled production scripts, and REST APIs.
- Experience with A/B testing, statistics, probability, and a BI tool.
- Understanding of safeguards for automated changes involving pricing or payments.
- Everyday use of AI tools and the ability to critically assess their output.
- Structured analytical thinking and clear communication.
- Fluent Russian and Upper-Intermediate English or higher.
Nice to have: ClickHouse, advanced experiment design, n8n or Airflow, event-driven automation, JavaScript, LLM APIs or MCP, and marketplace or mobility analytics.
Stack: ClickHouse, Druid, Redash, Superset, Python, Jupyter, n8n, Airflow.
Conditions and benefits: Full-time role; flexible schedule, medical insurance, English courses, partial compensation for sports, learning and conference expenses, and corporate activities. The role offers direct impact on revenue, ownership, and work on a global product.