What you will do:
- Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn - and translate findings into actionable product recommendations.
- Design, run, and interpret A/B tests and quasi-experiments, handling the methodology for measuring feature impact.
- Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment decisions.
- Define, validate, and monitor product KPIs and metric trees, challenging metrics that do not reflect real business value.
- Partner with product managers to prioritize the roadmap based on expected impact.
- Develop self-service dashboards (Tableau) and data sources to help stakeholders answer routine questions.
- Investigate anomalies in key metrics and communicate root causes clearly to non-technical audiences.
- Maintain a culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag limitations in data.
- Own web analytics implementation and data quality, including tracking plans, event taxonomy, tag management (GTM), and validation of new releases.
What we need from you:
- 2+ years of experience in Product, Web, or Data analytics.
- Hands-on experience with web analytics platforms (GA4, Amplitude, Mixpanel, or similar), specifically in event design and tracking implementation.
- Working knowledge of Google Tag Manager or comparable systems, including the ability to read dataLayer specs and debug tracking issues.
- Strong SQL skills, including window functions, CTEs, and experience with large datasets (e.g., Athena).
- Solid grounding in statistics, including hypothesis testing, confidence intervals, statistical power, and identifying common pitfalls like selection or cohort-maturity bias.
- Proven experience with funnel analysis, cohort analysis, LTV, and retention modeling.
- Proficiency with a BI tool, preferably Tableau, including data source design.
- Understanding of attribution models and their limitations.
- Proficiency in Python or R for ad-hoc analysis is a plus (pandas, curve fitting, survival analysis).
- Intermediate proficiency in English (written and spoken).
- Experience with iGaming, fintech, or high-frequency B2C domains is a plus.