Senior Games Data Analyst

📋 Description

• Analyze player behavior across lifecycle: acquisition to reactivation.
• Identify opportunities via segmentation, funnels, retention, cohort analysis.
• Design, run, and evaluate A/B tests and experiments.
• Measure impact of game features, events, and marketing campaigns.
• Define and monitor key 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, online entertainment, or high-volume digital product.
• Advanced SQL skills with large-scale datasets.
• Strong understanding of DAU/MAU, retention, churn, ARPU, LTV, payer rate.
• Statistics, hypothesis testing, experimental design, A/B testing.
• Experience using Python or R for analysis or modeling.

🎁 Benefits

• Remote-first working environment.
• Competitive salary with performance bonuses paid quarterly.
• 28 days of paid annual leave.
• Core working hours 10:00–15:00 in local TZ, with flexibility.
• Referral and flash bonuses.
• Top-of-the-line equipment and annual retreats.