Senior Games Data Analyst
New
J
JobgetherGaming, Data Analytics
IndiaFull-TimeSenior
SalaryCompetitive salary with quarterly performance-based bonuses.
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Job Details
- Experience
- 5+ years of experience in data analytics, product analytics, business intelligence, or a related analytical discipline; 3 years within gaming or digital product environments.
- Required Skills
- PythonSQLMicrosoft Power BITableauA/B testingLookerRData analytics
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.
- Experience publishing statistical research in an SCI-indexed journal is considered an advantage.
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.
- Design, execute, and evaluate A/B tests and other experiments by defining hypotheses and interpreting results.
- Measure the effectiveness of game features, promotions, live events, bonuses, and marketing campaigns.
- Develop and maintain key product metrics, dashboards, reporting frameworks, and recurring performance reports.
- Investigate KPI fluctuations, identify underlying causes, and provide actionable recommendations.
- Collaborate with Product Managers, Game Operations, Engineering, and Data Engineering teams to define analytics requirements and optimize tracking.
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