Senior Games Data Analyst

Responsibilities

• Analyze player behavior across the full lifecycle including acquisition, engagement, retention, and monetization
• Identify opportunities and risks through segmentation, funnel, cohort, and behavioral pattern analysis
• Design and evaluate A/B tests, including hypothesis development and statistical testing
• Measure performance of game features, promotions, events, and campaigns
• Define and maintain key product metrics and analytical frameworks
• Build dashboards and recurring reports for stakeholders
• Investigate KPI fluctuations and determine business impact
• Partner with Product Managers and Data Engineers to define requirements and improve data quality

Requirements

• 5+ years of experience in data analytics, product analytics, or business intelligence
• 3+ years of experience in gaming, online entertainment, betting, or high-volume digital products
• Advanced SQL skills and experience with large-scale datasets
• Strong understanding of gaming metrics (DAU/MAU, retention, churn, ARPU, LTV)
• Solid knowledge of statistics, hypothesis testing, and experiment design
• Proficiency in Python or R for statistical modeling or automation
• Experience with BI tools like Tableau, Power BI, Looker, or Apache Superset
• Familiarity with cloud data warehouses such as Redshift, Snowflake, BigQuery, or Databricks

Preferred Qualifications

• Published statistics-related research in an SCI-indexed journal

Benefits

• Competitive salary plus quarterly performance-based bonuses
• 28 days paid annual leave
• Flexible working hours around core 10am-3pm window
• Top of the line equipment
• Annual company retreats
• Referral and flash bonuses