Game Data Analyst (Gaming Product Management KPIs)
Summary
Analyzes live game data to track KPIs (DAU, retention, ARPU) and player behavior, creating dashboards for product managers to drive decisions on events, features, and monetization. Uses SQL, Databricks, and visualization tools to uncover trends and optimize engagement/revenue.
Impact -
- Enable data-driven decisions for leaders for LiveOps events, feature launches, and content updates through dashboards by defining datasets.
- Track KPIs including and not limited upto - Daily Active Users (DAU), Retention Rate, Churn Rate, ARPU (Average Revenue Per User), and session metrics.
- Make daily / weekly/monthly reports on player behavior, performance accuracy, engagement, and monetization / revenue trends to improve visibility. Perform A/B Testing for player engagement and revenue generation.
- Proactively identify patterns, anomalies, and trends in player behavior and accordingly recommend improvements based on the data evidence, useful for leadership for strategic decisions.
- Collaborate with local and international stakeholders towards making clear and accurate dashboards.
- Identify drop-offs in purchase funnels, payment failures and thereby contributing to reducing the loss.
- Responsible for quarterly / yearly licensing report - streaming cost for maps played
Innovation -
- Suggest new KPIs, dashboards, or reporting improvements
- Explore emerging analytics tools, methodologies, and visualization best practices
- Contribute to evolving analytics strategies for a live, fast-moving mobile game and process improvements
- Detect and propose improvements to processes and methodologies.
Seniority -
- Min 5+ years of professional experience in a Data Analyst or similar role
- Experience working on live products, mobile games, or digital services is a plus
Knowledge required -
Core Analytics Skills
- Strong analytical thinking and data interpretation
- Understanding of data types, data structures and statistics
- Metrics driven decision making
Data & Database Technologies
- 3+ years of experience with SQL
- Understanding of RDBMS and NoSQL databases
- Knowledge of Hive DB, file formats, and data flow pipelines
- Exposure to Python for data analysis or automation
Visualization & Platforms
- 3+ years of experience with Databricks, Power BI, and similar visualization tools
- Ability to build and maintain clear, actionable dashboards
- Passion for analytics, games, and live service models
- Curious about new trends in data, visualization, and player behavior analysis
- Detail-oriented, proactive, and solution-focused