Senior Data Analyst (LTV / Predictive Analytics)

Stack

Responsibilities

• ▹Own and develop the LTV prediction algorithm: find parameters and factors that increase forecast accuracy, prototype improvements in SQL, measure the gain, then hand the logic over to Data Engineering
• ▹Validate forecasts on closed cohorts, monitor forecast quality over time and explain where a model deviates from actual LTV
• ▹Research what moves LTV: product features, segments, purchase sources (for example CRM vs other sources), and adapt the prediction logic to them
• ▹Run analytical research end to end, from a vague question to a documented recommendation for Product, UA and Finance: where payback improves, where to concentrate media buying, what changes unit economics
• ▹Automate analytical routines and model quality monitoring together with Data Engineering

Requirements

• ▹4+ years in Data Analyst / Senior Data Analyst / Product Analyst roles with a product analytics focus: measuring the impact of factors on business metrics, not marketing attribution
• ▹Strong SQL: complex queries, window functions, optimisation
• ▹Solid mathematical statistics and understanding of how ML models work: build and validate a forecast, judge model quality (MAE, RMSE, MAPE, R2), run factor analysis
• ▹Product background with in-app monetization and its economics: LTV, cohorts, retention, ROI, CAC, ARPU, payback; subscriptions are ideal, other in-app B2C models also work, ad-only monetization is not a fit
• ▹A proven end-to-end pattern: take a vague question, form a hypothesis, dig into it and bring it to a recommendation
• ▹Ability to back conclusions with data and communicate them to technical and business stakeholders

Nice to have

• ▹Python (pandas, numpy, scikit-learn) for analysis and modelling
• ▹A/B testing and statistical hypothesis testing
• ▹BI tools (Tableau, Looker, Power BI)
• ▹Cloud DWH and large data volumes (Athena, BigQuery, Snowflake, Redshift or similar)
• ▹Feature engineering and model interpretation (SHAP, feature importance)
• ▹Mobile products, gaming or subscription businesses

Soft skills

What we offer

• ▹Impactful work that directly shapes the company's future
• ▹Innovative environment in EdTech
• ▹Competitive salary
• ▹Flexible paid time off: 21 days of annual leave plus 10 bank holidays
• ▹Collaborative culture

About the company

StellarTech is a B2C mobile publisher in EdTech running subscription apps, in-app monetization and performance marketing at scale.