Senior Data Analyst
Summary
Senior Data Analyst at Electronic Arts in Vancouver builds dashboards, analyzes player/game data, and applies ML/AI to optimize game features and business outcomes.
The Game Intelligence team within the Enterprise Intelligence organization 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 GI to work with experts dedicated to improving understanding, workflows, and player experiences.
The Role
We are looking for a Senior Analyst, Insights 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, game designers, and quality teams to enhance player experiences and drive business outcomes through data. Reporting to the Senior Manager of Analytics, you’ll use your expertise to inform strategic decisions across product optimization, gameplay features, technology, testing, and overall quality.
What You'll Do
Analyse player and product data to uncover patterns and recommend opportunities to improve performance, stability, automation and test coverage and bug metrics
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
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
What You'll Bring
3+ years of experience in data analysis or applied analytics, in gaming, software, mobile apps, or similar
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.
Excellent problem-solving and communication skills
Ability to independently manage assigned tasks including work planning for assigned deliverables