Expert Analyst - EA Sports Analytics, Enterprise Intelligence

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Reporting to the Director of Analytics, you will be the embedded analytics lead for a new EA SPORTS title in development. This is a senior role focused on building analytics from the ground up: defining success metrics, shaping telemetry, modeling game systems, and helping the team make better product decisions from early testing through launch and beyond. You will have a growth path towards analytics leadership as the title and team scale.

Responsibilities:

• Build the analytics foundation for a new EA SPORTS title, including measurement frameworks, telemetry requirements, metric definitions, and insight roadmaps.

• Own and execute the analytics roadmap from user tests through launch and live service; translate product milestones into clear analytics and data deliverables.

• Partner with Product, Design, and User Research teams to conduct analysis and modeling of player behavior, progression systems, retention systems, and monetization systems.

• Define telemetry, data quality, and reporting requirements; partner with Data Engineering and Data Architecture to ensure trusted, scalable data and reporting.

• Develop the analytical foundations needed to support experimentation, segmentation, and personalization.

• Elevate how insights are used across feature development, user tests, launch readiness, and live-service evolution.

Qualifications:

• 7+ years of professional experience informing product strategy with data analysis in gaming or adjacent digital products with high independence.

• Degree in a quantitative field (e.g., Computer Science, Statistics, Economics, or related discipline).

• Expert–level SQL proficiency with experience extracting insights from complex datasets.

• Experience designing self-service dashboards using Tableau, Looker, or other similar tools.

• Experience using Python or similar for analysis, modeling, segmentation, or experimentation.

• Experience with free-to-play live service games, player retention, or economy systems.