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Apply on Electronic Arts (HQ)’s site →Expert Analyst - EA Sports Analytics, Enterprise Intelligence - 216009 - Electronic Arts
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Expert Analyst - EA Sports Analytics, Enterprise Intelligence
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Role Detail
General Information
Locations : Orlando, Florida, United States of America
Role ID
216009
Worker Type
Regular Employee
Studio/Department
CT - Data & Insights
Work Model
Hybrid
Description & Requirements
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.
About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
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