Senior Games Data Analyst

📋 Description

• Analyze player behavior across lifecycle: acquisition, onboarding, engagement, retention
• Identify opportunities/risks via segmentation, funnel, cohorts, retention, and pattern analysis.
• Design, run, and evaluate A/B tests and experiments with hypothesis, sample size, metrics, and
• Measure impact of game features, promotions, events, and campaigns.
• Define and monitor key product/gaming metrics across games and segments.
• Build dashboards and reports to enable timely decisions.

🎯 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 with large-scale datasets.
• Strong understanding of metrics: DAU/MAU, retention, churn, ARPU, LTV, payer rate.
• Statistics knowledge: hypothesis testing, experimental design, A/B testing.
• Experience with Python or R for analysis/modeled work.

🎁 Benefits

• Remote-first environment.
• Competitive salary with performance-based bonuses (quarterly).
• 28 days paid annual leave.
• Core hours 10:00-15:00 in local TZ with flexibility.
• Referral/flash bonuses and top-tier equipment.
• Annual retreats and opportunities to tackle large-scale analytics challenges.