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| Job Location | Vancouver, BC |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Full Time |
At EA, we inspire the world to play by developing, publishing, and distributing the worlds best games. Our EA Vancouver studio is looking for a Data Analyst to support our FIFA franchise. Reporting to the lead analyst on FIFAs live services, youll work with the live product & content teams along with colleagues in analytics around the world. Were looking for someone with a passion for diving into data to uncover insights. Youll not only be a data explorer and modeler, but also a data storyteller who will help guide the company to create extraordinary gaming experiences for our players.Examples of projects you may work on include: assessing campaign content impact, reporting on content performance, projecting engagement patterns, and tuning mode features and player rewards.What youll do on our team:Receive questions from our partners, determine the best ways that our data can help answer them, and provide insights through dashboards, reports, or presentations.Develop insights to help our partners make informed decisions about in-game campaign planning.Work with game producers to understand their needs and translate analysis into realistic recommendations.Explore player behaviour patterns in our data to identify opportunities to improve the player experience.Model trends in our data to predict the ways in which new content and campaigns will affect our performance.Present analyses and findings to our partners in a clear and understandable way.What were looking for:A degree in Business, Statistics, Mathematics, Economics, Data Science, Analytics, or a related field.2+ years of experience in an analytics role using data to help guide decisions in a consumer products-oriented industry (e.g. gaming, entertainment, e-commerce).Excellent SQL querying skills.Proficiency analyzing large datasets in a spreadsheet program or in a programmatic analysis tool (e.g. Python, R).Experience with data visualization applications (e.g. Tableau, R Shiny).Experience in statistical modeling (e.g. regression, clustering, predictive modeling).Quick Apply