Senior Games Data Analyst

📋 Description

• Analyze player behavior across lifecycle: acquisition, onboarding, engagement, retention
• Identify opportunities/risks via segmentation, funnel, cohort, retention, and behavioral analyses.
• Design, run, and evaluate A/B tests and experiments with hypotheses and sample-size planning.
• Measure impact of game features, promotions, events, and campaigns.
• Define, monitor, and maintain product/gaming metrics across segments.
• Build dashboards and recurring reports for stakeholders to monitor performance.

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

🎁 Benefits

• Remote-first working environment.
• Competitive salary with performance-based bonuses quarterly.
• 28 days paid annual leave.
• Core hours 10:00-15:00 in local time zone with flexibility.
• Referral and flash bonuses; top equipment; annual retreats.
• Opportunity to work on large-scale gaming analytics with ownership and autonomy.