Senior Games Data Analyst

📋 Description

• Analyze player behavior across lifecycle: acquisition to reactivation.
• Identify opportunities/risks via segmentation, funnels, cohorts.
• Design/execute/assess A/B tests and experiments.
• Measure impact of game features, promotions, events, campaigns.
• Define/monitor key metrics across games and segments.
• Build dashboards and 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 datasets.
• Strong product/gaming metric knowledge (DAU/MAU, retention, LTV, ARPU).
• Statistics, hypothesis testing, experimental design, A/B testing.
• Python or R for data analysis and modeling.

🎁 Benefits

• Remote-first environment.
• Competitive salary with quarterly bonuses.
• 28 days paid annual leave.
• Core hours 10:00-15:00 in local TZ with flexibility.
• Referral/flash bonuses.
• Top professional equipment and retreats.