Electronic Arts

Location: Vancouver (Burnaby) (Onsite)

The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to enable more profound understanding, better ways of working, and more meaningful experiences for our players.

The Role

We are looking for a Senior Analyst to join the analytics team supporting two new mobile titles in development. You will work closely with product managers, designers, and game developers to turn data into insights that shape player experiences and business outcomes.

This role reports to the Senior Manager of Analytics and is based in Burnaby, BC with an onsite work model.

What You’ll Do

• Analyze player and product data to uncover patterns and recommend opportunities to improve acquisition, retention, engagement, and monetization

• Build dashboards, reports, and visualizations that help stakeholders make better, faster decisions

• Collaborate with product and design teams to define metrics, design experiments, and evaluate results from A/B tests or other studies

• Contribute to the development of predictive models and other applications of machine learning that personalize player experiences or support product decisions

• Explore and apply generative AI tools to increase the efficiency of your own work and support scalable insights

• 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 clearly to both technical and non-technical audiences

What You’ll Bring

• 2+ years of experience in data analysis or applied analytics, ideally in gaming, mobile apps, or other digital products

• Expert proficiency in SQL for querying large data sets; experience with analysis and modeling in Python or R

• Understanding of core statistical methods such as regression, classification, and forecasting

• Familiarity with experimentation techniques such as A/B testing and causal inference

• Interest in machine learning and generative AI tools that support player insights or analytics workflows

• Experience with visualization tools such as Looker, Tableau

• Ability to translate business problems into analytical questions and communicate results in a clear, actionable way

• Ability to work through ambiguity by breaking down vague or complex problems into clear analytical questions and structured approaches