Senior Games Data Analyst

Job Description

Responsibilities

• Analyze player behavior across the full customer lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.
• Perform player segmentation, cohort analysis, funnel analysis, retention analysis, and behavioral analytics to identify opportunities for product optimization and growth.
• Design, execute, and evaluate A/B tests and other experiments by defining hypotheses, selecting success metrics, conducting statistical analyses, and interpreting results.
• Measure the effectiveness of game features, promotions, live events, bonuses, and marketing campaigns to support data-driven product decisions.
• Develop and maintain key product metrics, dashboards, reporting frameworks, and recurring performance reports for multiple games and player segments.
• Investigate KPI fluctuations, identify underlying causes, and provide actionable recommendations to technical and non-technical stakeholders.
• Collaborate with Product Managers, Game Operations, Engineering, and Data Engineering teams to define analytics requirements, improve data quality, optimize tracking, and strengthen analytical frameworks across the organization.

Requirements

• 5+ years of experience in data analytics, product analytics, business intelligence, or a related analytical discipline.
• At least 3 years of experience within gaming, online entertainment, betting, financial analytics, or another high-volume digital product environment.
• Advanced SQL skills with proven experience analyzing large-scale datasets.
• Strong knowledge of gaming and product performance metrics, including DAU, MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.
• Solid foundation in statistics, hypothesis testing, experimental design, and A/B testing methodologies.
• Hands-on experience using Python or R for data analysis, automation, and statistical modeling.
• Proficiency with business intelligence and visualization tools such as Tableau, Power BI, Looker, or Apache Superset.
• Familiarity with cloud data warehouse platforms such as Amazon Redshift, Snowflake, BigQuery, or Databricks.
• Experience with event tracking design, data validation, and improving analytical datasets.
• Excellent analytical thinking, communication, stakeholder management, and the ability to manage multiple projects independently in a dynamic environment.
• Experience publishing statistical research in an SCI-indexed journal is considered an advantage.

Benefits

• Competitive salary with quarterly performance-based bonuses.
• Fully remote work environment with flexible working hours and core collaboration time.
• 28 days of paid annual leave.
• High-quality equipment provided to support your work.
• Referral and performance bonus opportunities.
• Annual company retreats for networking and team collaboration.
• Opportunity to work with cross-functional international teams on high-impact gaming products.
• Fast-paced, data-driven culture focused on innovation, collaboration, and professional growth.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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