Data Analyst

We're looking for a Data Analyst who knows how to dig into numbers, track user behavior, and turn data into clear product decisions — especially in subscription-based mobile apps. You'll be working closely with product managers, developers, and marketing teams to find answers and suggest improvements.

What you'll do:

• Analyze product and marketing metrics: LTV, ARPU, ROI, Churn, Retention, Conversion, etc.
• Identify bottlenecks in the funnel and opportunities for growth.
• Support and validate data-driven hypotheses with real numbers.
• Build dashboards and reports (mainly in Tableau).
• Keep data integrations accurate and clean.
• Work directly with product and engineering teams to align insights with product goals.

What we’re looking for:

• 1+ year working with subscription-based apps or services.
• Solid knowledge of SQL (preferably ClickHouse) and Python.
• Experience with tools like AppHud, Adapty, or RevenueCat.
• Familiarity with attribution platforms: Appsflyer, Adjust, or Appmetrica.
• Comfortable working with BI tools (ideally Tableau)
• Understanding of monetization mechanics and subscription unit economics.
• Strong communication skills — clear in both data storytelling and teamwork.

Bonus points for:

• Background in statistics or probability theory.
• Experience with A/B testing and interpreting test results.
• Knowledge of ETL processes or working with APIs.
• Familiarity with the subscription lifecycle: trials, renewals, cancellations, refunds.
• Experience in cohort analysis and LTV prediction models.