About the Role:
Reporting to the Director of Analytics, the role is 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, modelling game systems, and helping the team make better product decisions from early testing through launch and beyond. The role has a growth path towards analytics leadership as the title and team scale.
Key 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 modelling of player behaviour, progression systems, retention systems, and monetisation 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 personalisation. Elevate how insights are used across feature development, user tests, launch readiness, and live-service evolution. Required Experience & 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, modelling, segmentation, or experimentation. Experience with free-to-play live service games, player retention, or economy systems.
