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Hybrid Senior Manager, Data & Analytics bei Electronic Arts

Electronic Arts · Vancouver, Kanada · Hybrid

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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 RoleWe are looking for a Senior Manager of Analytics to lead the data strategy, insight generation, and experimentation across two mobile titles currently in development. You will report to the Director of Analytics and manage a small team of analysts, helping guide early product decisions, player personalization efforts, and live service strategy through data.This is a people leadership role with hands-on expectations. You will partner closely with product managers, game designers, and engineering leads to define the role of data in building player-first mobile experiences.Key ResponsibilitiesHire, manage, mentor, and grow a team of analysts, creating a collaborative and high-impact team cultureLead the design and implementation of foundational data infrastructure, including telemetry, KPIs, and reporting for new titlesAnalyze behavioral data to identify and communicate opportunities to improve acquisition, engagement, retention, and monetizationCollaborate with cross-functional teams to bring data into the product development process and inform roadmap prioritizationGuide the development and application of machine learning models to personalize player experiences and predict player behaviorDefine and execute experimentation strategies, including A/B testing and causal inference methods, to validate product changes and improve outcomesEvaluate and apply generative AI tools to improve team productivity and automate insight generation where appropriateSupport data enablement efforts by promoting self-service tools and helping team members and partners ask better questions and apply data effectivelyWhat you Bring7+ years of experience in analytics or data science2+ years of experience managing people, with a focus on performance development and team buildingStrong SQL skills and experience using Python and/or R for data analysis, modeling, or automation. Experience with BI tools such as Looker/Tabelau/PowerBIDeep understanding of statistical methods such as regression, classification, forecasting, and causal inferenceExperience applying machine learning techniques to real-world product or player problemsFamiliarity with experimentation design, execution, and interpretation (e.g., A/B and multivariate tests)Interest in applying generative AI to analytics workflows and increasing team leverage through automationStrong communication skills, with the ability to present complex topics clearly to diverse audiences
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