Data Analyst

• Build and maintain player segmentation models using gameplay, behavioral, and monetization signals.
• Analyze player behavior, level progression, and feature usage to surface actionable insights.
• Partner with game economy and product teams to fine-tune sources, sinks, pacing, and offers based on segment needs.
• Use Python and SQL to run deep-dive analyses, build pipelines, and automate recurring economy metrics.
• Design and evaluate A/B tests related to game economy, pacing, and progression.
• Present clear findings via dashboards and storytelling that inform product and economy decisions.

• 2+ years of experience as a data analyst, data scientist or economist (preferably in gaming).
• Proven experience with Python for data analysis, segmentation, and predictions.
• Strong command of SQL and experience exploring large datasets.
• Understanding of game economy concepts, player motivations, and progression systems.
• Experience with BI tools (e.g., Power BI, Looker, Tableau).
• Clear communication and collaboration skills - able to work with technical and non-technical teams.

• Prior work on segmentation frameworks for different player types.
• Experience with level analytics, offer targeting, or monetization modeling.
• Statistical testing and experimentation at scale.

Mploy