Senior Games Data Analyst

📋 Description

• Analyze player behavior across lifecycle: acquisition, onboarding, engagement, retention
• Identify opportunities/risks via segmentation, funnel, cohorts, retention, patterns.
• Design/execute/evaluate A/B tests and experiments with metrics and sample sizes.
• Measure impact of features, promotions, events, and campaigns.
• Define/monitor key metrics across games and segments.
• Build dashboards/reports/tools 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 product environments.
• Advanced SQL skills with large-scale datasets.
• Strong understanding of DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV.
• Statistics knowledge: hypothesis testing, experimental design, A/B testing.
• Experience with Python or R for analysis/modeling/automation.

🎁 Benefits

• Remote-first working environment.
• Competitive salary with performance-based bonuses paid quarterly.
• 28 days of paid annual leave.
• Core hours 10:00 AM – 3:00 PM in local time zone with flexibility outside.
• Referral/flash bonuses and strong equipment.
• Annual retreats and opportunities for collaboration.