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, sample size, metrics, tests
• Measure impact of game features, promotions, events, bonuses, and marketing campaigns.
• Define and monitor key product/gaming metrics across games and segments.
• Build dashboards, recurring reports, and analytical tools 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 products.
• Advanced SQL skills with large-scale datasets.
• Strong knowledge of metrics: DAU/MAU, retention, churn, ARPU, LTV, payer rate.
• Statistics, hypothesis testing, experimental design, and A/B testing.
• Experience with Python or R; BI/data viz tools (Tableau, Power BI, Looker, Apache Superset).

🎁 Benefits

• Remote-first working environment.
• Competitive salary with performance-based bonuses (quarterly).
• 28 days of paid annual leave.
• Core hours 10:00-15:00 in local TZ, with flexibility.
• Referral/flash bonuses; top-tier equipment; annual retreats.
• Opportunity to work on large-scale gaming analytics and cross-functional teams.