Senior Games Data Analyst

📋 Description

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

🎯 Requirements

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

🎁 Benefits

• Remote-first working environment.
• Competitive salary with performance-based bonuses paid quarterly.
• 28 days of paid annual leave.
• Core working hours 10:00 AM–3:00 PM in local time zone, with flexibility outside those hours.
• Referral bonuses and flash bonuses.
• Top-of-the-line professional equipment.