Stellar Tech is a leading B2C mobile publisher in the EdTech sector, specializing in subscription apps and large-scale performance marketing. We are seeking a Senior Data Analyst to take ownership of our LTV prediction algorithm, focusing on research, predictive analytics, and the continuous improvement of our forecasting models.
Key responsibilities
- Develop and refine the LTV prediction algorithm by identifying key parameters and prototyping improvements in SQL.
- Validate forecasts on closed cohorts and monitor model quality to ensure high accuracy over time.
- Conduct end-to-end analytical research to understand the drivers of LTV, including product features and user segments.
- Provide actionable, data-driven recommendations to Product, UA, and Finance teams to optimize unit economics.
- Collaborate with Data Engineering to automate analytical routines and model monitoring processes.
Requirements
- 4+ years of experience in Data or Product Analyst roles with a focus on business metrics and impact analysis.
- Advanced SQL skills, including complex queries, window functions, and performance optimization.
- Strong foundation in mathematical statistics and experience validating ML models using metrics like MAE, RMSE, and R2.
- Deep understanding of in-app monetization economics, including LTV, cohorts, retention, ROI, and CAC.
- Proven ability to translate vague business questions into structured hypotheses and documented recommendations.
What we offer
- The opportunity to perform impactful work that directly shapes the company's strategic direction.
- A collaborative and innovative environment focused on pushing boundaries in the EdTech space.
- Flexible paid time off, including 21 days of annual leave plus 10 bank holidays.
- Engagement with cutting-edge AI solutions and a professional, driven team.