7+ years' experience in data analysis for gaming or related digital products.
Degree in a quantitative field like Computer Science or Statistics.
Expert-level SQL skills for complex data insights extraction.
Proficient in creating self-service dashboards with tools like Tableau or Looker.
Experience using Python for data analysis and modeling.
Background in free-to-play live service games and player retention.
Responsibilities
Build the analytics framework for a new EA SPORTS title, setting metrics and telemetry requirements.
Drive the analytics roadmap from user tests to launch and live service.
Collaborate with Product, Design, and User Research teams on player behavior and system analysis.
Define data quality and reporting needs, working with Data Engineering and Architecture.
Establish analytical foundations for experimentation and user segmentation.
Enhance the use of insights in product feature development and live-service updates.
Full Job Description
Description & Requirements
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.
Post To
External careers site, Internal careers site
LinkedInID
1449
About Electronic Arts Inc
Electronic Arts Inc. (EA) is a global leader in digital interactive entertainment. The company develops and publishes games, content, and online services for consoles, mobile devices, and personal computers. EA's portfolio includes popular franchises such as FIFA, Madden NFL, The Sims, and Battlefield. The company was founded in 1982 and is headquartered in Redwood City, California.
