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Popular mid-level data analyst role with broad SQL/BI requirements at a well-known gaming brand increases competition.
Core analytics skills are transferable across industries, but gaming/live-ops experience creates moderate domain specificity.
Explicit 5+ years requirement plus mandatory SQL, Databricks, Power BI, and Python enforces strict shortlisting.
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Own the creation and maintenance of dashboards and reports for LiveOps events, feature launches, and content updates, enabling data-driven decisions for leadership.
Track and analyze key gaming KPIs such as DAU, retention, churn, ARPU, and session metrics, including player behavior and revenue trends.
Identify anomalies and player behavior patterns to recommend improvements and contribute to reducing losses in purchase funnels and payment failures.
Minimum 5+ years professional experience as a Data Analyst or in a similar role.
At least 3 years experience with SQL, Databricks, Power BI (or similar visualization tools), and exposure to Python for analysis or automation.
Experience with RDBMS and NoSQL databases, Hive DB, and data flow pipelines.
Work Experience Required: 5+ years; Experience working on live products, mobile games, or digital services is a plus but not mandatory.
Experienced in analytics within fast-moving live service or digital product environments, preferably mobile games.
Skilled in building actionable dashboards and reporting to support strategic decisions and operational improvements.
Proactive in identifying process and methodology enhancements with strong data interpretation and metrics-driven decision-making skills.