Onde
Middle/Senior Data Analyst
3 дн. назад
Страна неизвестнаMiddleRemoteB2
sqlpythonpandasnumpyscipyrest apissupersetredash
Middle/Senior Data Analyst в Onde, платформа с приложениями для компаний-перевозчиков, работает с 200 компаниями в 75 странах мира.
About the company
- B2B product with 400+ business partners in 90 countries.
- A team of 140+ bright-minded professionals eager to challenge everything you know.
- We help ambitious entrepreneurs to start a ride-hailing (taxi) services.
- Our SaaS solution and marketing assistance is what we provide our business partners with.
- 15 years of expertise in developing a mobility platform
- Amazing team of specialists working and playing hard
- Opportunity for all employees to influence the product and take initiative
- Focus on quality, no strict deadlines
- Flexible management
- Healthy work-life balance
Responsibilities
- Help our largest partners grow (main focus)
- Research our partners' business, from the balance of supply and demand to the full lifecycle of riders and drivers, and find growth opportunities
- Build unit economics models that show where growth comes from and how each change affects revenue
- Improve marketplace efficiency for each partner: balance supply and demand by tuning their pricing (base and dynamic) and order distribution settings
- Improve the rider and driver lifecycle and service quality: acquisition, activation, order frequency, retention and reactivation, work with user segments
- Launch changes and measure their effect with control groups and other experiment designs
- Automate the changes that work: scripts and workflows that run on a schedule or are triggered by platform events, apply changes through our APIs, log every change, stop or roll back when metrics go out of bounds, and need minimal attention
- Develop our products
- Help improve the pricing and order distribution algorithms for all partners: test new logic and find what makes them more efficient
- Research how riders and drivers behave in our apps and turn the 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 for partners
- Develop our metric tree and metric definitions, so everyone calculates metrics in the same, reliable way
- Answer urgent data questions from partners and internal teams
- Use AI every day to work faster: research, data questions, code
- Help us build AI-assisted analytics: automate recurring research and let AI answer routine data questions
Requirements
- 4+ years of experience in product or data analytics
- A 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, both for data analysis (pandas, numpy, scipy) and for production scripts that run on a schedule, work with REST APIs, handle errors and retries, and write logs
- Understanding of what can go wrong when automation changes prices or pays money (duplicates, failed calls, wrong values) and how to protect against it
- Experience with any BI tool: Superset, Redash, Tableau, Power BI or similar
- Everyday use of AI tools (Claude, ChatGPT, Cursor or similar) for analysis and code, and a critical eye for what they produce
- An analytical and critical mindset, structured thinking and a 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
- Experience with advanced experiment designs: switchback tests, causal inference, synthetic control groups
- Experience with workflow automation or orchestration tools: n8n, Airflow or similar
- Experience with event-driven automation: webhooks or event streams
- Basic JavaScript, enough to read and fix code in automation tools
- Experience building AI-powered tools or workflows, for example with LLM APIs or MCP
- Background in marketplace or mobility analytics
Conditions
- Full-time
- Flexible working schedule
- Medical insurance
- In-house English courses
- Partial compensation of gym tickets and other sports
- Conferences, events, and courses being compensated, too
- Gifts for special occasions
- Different corporate activities both online and offline to have fun
- An opportunity to bring all your daring ideas to reality