U
Ubisoft
Data Analyst

Game Data Analyst (Gaming Product Management KPIs)

On-siteMidData Analystposted 3w ago
Role summaryAI-generated

The role focuses on translating gaming product KPIs (DAU, retention, ARPU, etc.) into actionable insights via dashboards and reports, with a strong emphasis on A/B testing, funnel optimization, and cross-functional collaboration to drive revenue and engagement improvements for Ubisoft’s LiveOps strategy.

Skills required

About this role

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.

    Qualifications

    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

      Additional Information

      • 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
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