Senior Games Data Analyst

📋 Description

• Analyze player behavior across lifecycle to improve engagement and monetization.
• Identify opportunities/risks via segmentation, funnels, cohorts, retention.
• Design and evaluate experiments including A/B tests and sampling.
• Measure impact of game features, events, and campaigns.
• Define/monitor metrics across games and segments.
• Build dashboards and recurring reports for stakeholders.

🎯 Requirements

• 5+ years in data analytics, product analytics, BI, or related field.
• At least 3 years in gaming or high-volume digital products.
• Advanced SQL skills with large-scale datasets.
• Strong knowledge of metrics like DAU/MAU, retention, churn, ARPU, LTV.
• Statistics, experiment design, and A/B testing expertise.
• Python or R for analysis, modeling, or automation.

🎁 Benefits

• Remote-first working environment.
• Competitive salary with performance-based bonuses.
• 28 days of paid annual leave.
• Core hours 10:00–15:00 in local TZ, with flexibility.
• Referral/flash bonuses; top equipment.
• Annual retreats;跨-team collaboration opportunities.