Middle/Senior Data Analyst

November 5, 2026

Middle

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English is required
B2 level

Description

A B2B SaaS company with 400+ partners in 90 countries is hiring a Middle/Senior Data Analyst to grow partner revenue. The role covers unit economics modeling, marketplace pricing and distribution tuning, A/B testing, lifecycle research and automation of winning changes. Stack includes ClickHouse, Druid, Redash, Superset, Python, n8n and Airflow, with everyday use of AI tools for research and code.

Responsibilities

Research partners' business from supply and demand balance to full rider and driver lifecycle to find growth opportunities
Build unit economics models showing where growth comes from and how each change affects revenue
Improve marketplace efficiency by tuning base and dynamic pricing and order distribution settings
Improve rider and driver lifecycle: acquisition, activation, order frequency, retention, reactivation and user segments
Launch changes and measure their effect with control groups and other experiment designs
Automate working changes with scheduled scripts, platform triggers and APIs, logging every change and rolling back when metrics go out of bounds
Help improve pricing and order distribution algorithms for all partners by testing new logic
Research how riders and drivers behave in the apps and turn findings into product recommendations
Estimate the impact of new features
Design and analyze A/B tests for the rider and driver apps
Build and maintain reports and dashboards for internal teams and partners
Develop the metric tree and metric definitions so everyone calculates metrics consistently
Answer urgent data questions from partners and internal teams
Use AI daily for research, data questions and code
Help build AI-assisted analytics to automate recurring research and routine data questions

Requirements

4+ years of experience in product or data analytics
Degree in a quantitative field: mathematics, statistics, computer science, physics, economics or similar
Solid experience with A/B tests and practical knowledge of statistics and probability theory
Strong SQL
Strong Python for data analysis (pandas, numpy, scipy) and production scripts with REST APIs, error handling, retries and logging
Understanding of automation risks when changing prices or paying money: duplicates, failed calls, wrong values
Experience with any BI tool: Superset, Redash, Tableau, Power BI or similar
Everyday use of AI tools (Claude, ChatGPT, Cursor or similar) with a critical eye for their output
Analytical and critical mindset, structured thinking and strong problem-solving approach
Ability to justify conclusions, communicate clearly and present findings to partners and cross-functional teams
Fluent Russian, Upper-Intermediate English or higher
Nice to have: experience with ClickHouse
Nice to have: advanced experiment designs like switchback tests, causal inference, synthetic control groups
Nice to have: workflow automation tools n8n, Airflow and event-driven automation via webhooks
Nice to have: basic JavaScript to read and fix code in automation tools
Nice to have: building AI-powered tools with LLM APIs or MCP
Nice to have: background in marketplace or mobility analytics