Senior Data Analyst - FC Live

At EA, we inspire the world to play by developing, publishing, and distributing the world's best games. Our EA Vancouver studio is looking for a Senior Data Analyst to support our EA Sports FC franchise. Reporting to the Analytics Manager on FC's live services, you'll work with the live product & content teams along with colleagues in analytics around the world. We're looking for someone with experience diving into large datasets to uncover insights. You'll not only be a data explorer and modeller, 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, running experiments to improve our existing understanding of our players' behaviour, and modelling the effects that our live content has on overall player engagement.

What you'll do on our team:

• Receive questions from our partners, determine the best ways that our data can help answer them, and provide those insights through dashboards, reports, or presentations.
• Develop insights to help our partners make informed decisions about in-game campaign planning.
• Work with game product managers to understand their experimentation 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.
• Investigate how live content and campaigns impact our in-game player economy.
• Present analyses and findings to our partners in a clear and understandable way.

What we're looking for:

• A bachelor's degree in Business, Statistics, Mathematics, Economics, Data Science, Analytics, or a related field
• 5+ 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 and in programmatic analysis tools (e.g. Python, R).
• Experience with data visualization applications (e.g. PowerBI, Tableau, Looker).
• Experience in statistical modelling (e.g. regression, clustering, predictive modelling).