Senior Games Data Analyst

📋 Description

• Analyze player behavior across the complete lifecycle: acquisition, onboarding, engagement
• Identify opportunities and risks via segmentation, funnels, cohorts, retention, and behavioral
• Design, execute, and evaluate A/B tests and experiments with hypothesis, sample size, metrics, and
• Measure impact of game features, promotions, events, bonuses, and marketing campaigns.
• Define and monitor key product and gaming metrics across games and segments.
• Build dashboards, recurring reports, and analytical tools for stakeholders.

🎯 Requirements

• 5+ years in data analytics, product analytics, BI, or related field.
• At least 3 years in gaming, online entertainment, betting, or high-volume digital products.
• Advanced SQL and experience with large-scale datasets.
• Strong understanding of DAU/MAU, retention, churn, conversion, ARPU, LTV, payer metrics.
• Statistics knowledge: hypothesis testing, experimental design, A/B testing.
• Experience with Python or R for analysis, modeling, or automation.

🎁 Benefits

• Remote-first environment.
• Competitive salary with quarterly bonuses.
• 28 days annual leave.
• Flexible core hours 10:00-15:00 in local TZ.
• Referral and flash bonuses.
• Top-tier equipment and annual company retreats.