Senior Games Data Analyst

📋 Description

• Analyze player behavior across lifecycle (acquisition to reactivation).
• Segment players and analyze funnels, retention, churn, and monetization.
• Design, run, and evaluate A/B tests and experiments.
• Measure impact of features, campaigns, events, and bonuses.
• Define and monitor key metrics across games and segments.
• Build dashboards and recurring reports for stakeholders.

🎯 Requirements

• 5+ years in data analytics, BI, or related field.
• At least 3 years in gaming or high-volume digital products.
• Advanced SQL with large-scale datasets.
• Strong knowledge of product/game metrics (DAU/MAU, LTV, ARPU, payer rate).
• Statistics, hypothesis testing, experimental design, A/B testing.
• Python or R for data analysis; BI/visualization tools (Tableau/Power BI/Looker).

🎁 Benefits

• Remote-first environment.
• Competitive salary with performance bonuses.
• 28 days annual leave, flexible core hours.
• Referral bonuses, high-end equipment, annual retreats.