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.
The Data & Insights (D&I) team is involved in every aspect of data at EA, using it to deliver valuable insights and solutions for game teams and players. We drive strategy, build data and AI tools, and support personalization, experimentation, and analytics. Join D&I to work with experts dedicated to improving understanding, workflows, and player experiences.
The Role
We are looking for a Senior Data Analyst to join our analytics team supporting a high-definition title in development. In this hybrid role based in Vancouver, you’ll collaborate with product managers, engineers, and quality teams to enhance development quality, product stability and drive business outcomes through data. Reporting to the Manager of Analytics, you’ll use your expertise to inform strategic decisions across product optimization, technology, testing, and overall quality.
What You'll Do
Communicate with studio stakeholders to identify opportunities where data can better support decision making
Work with partners to define the right questions to ask and the right data to use, helping embed data in daily decision-making
Present findings to both technical and non-technical audiences
Build dashboards, reports, and visualisations that help stakeholders make better, faster decisions
Contribute to the development of predictive models and other applications of machine learning that personalise player experiences or support product decisions
Explore and apply generative AI tools to increase the efficiency of your own work and support scalable insights
What You'll Bring
4+ years of experience in data analysis or applied analytics, in gaming, mobile apps, or other digital products
Proficiency in SQL for querying large datasets; experience with analysis and modelling in Python or R
Experience with visualisation tools such as Looker, PowerBI
Ability to translate business needs into technical data requirements
Experience with or interest in using machine learning and generative AI tools to support analytics or player insights
You will use storytelling to convert business objectives into analytical questions, and communicate results with practical recommendations and actionable steps.