Lead the feature analytics domain: support product features, develop dashboards, and identify growth opportunities.
About the vacancy
Requirements
- 2+ years of experience in product analytics;
- SQL and Python (advanced), ideally with experience in ClickHouse and YTsaurus;
- BI (Superset, Redash, DataLens)
- Experience collaborating with PM, PO, Dev, QA, and Marketing teams — gathering requirements, presenting results, forming recommendations;
- Experience with analytics event tagging;
- Solid experience in building data marts;
- Proven experience managing complex analytical projects (segmentation, scoring, forecasting)
- Ability to operate and analyze product and monetization metrics — MAU, sticky factor, retention, LTV, ARPU, ARPPU, etc.
- Experience conducting A/B experiments
- Jira, Confluence
- Ability to structure your own backlog and decompose complex tasks/projects
- Skill in presenting and arguing results
- Ability to independently formulate hypotheses for anomaly research and identifying growth opportunities
Tasks
- Leading the feature analytics domain (app promotion) to achieve company OKRs;
- Supporting the development of product features — gathering requirements, tagging product analytics events, summarizing results, and forming recommendations;
- Building a system of dashboards for product analytics, preparing necessary data sources for this — data marts;
- Collaborating with product and marketing teams, promoting a data-informed and self-service culture;
- Conducting research, projects on segmentation, scoring, personalization of user experience, and forecasting key metrics; identifying growth opportunities and anomalies in product metrics;
- Mentoring junior colleagues
We offer
- Voluntary medical insurance (DMS) from the first month: A policy with dental coverage starts from the first month of employment
- Care for the family: Free DMS, gifts, and special events for employees' children
- Flexible benefits: Choose how to spend your allocated limit: 14 categories available
- 100% sick pay: Fully paid up to 30 days of sick leave regardless of tenure
- Meal compensation: We compensate meal expenses on days worked from the office
- Specialist support: Free online consultations with psychologists, lawyers, and financial experts
