Expert Analyst - Apex Legends, Enterprise Intelligence (EI)

Electronic Arts is seeking an Expert Analyst to join the Enterprise Intelligence (EI) team, which transforms data into actionable insights that power EA. The successful candidate will report to a Senior Manager of Insights for Apex Legends and work in a hybrid remote/in-office role.

Responsibilities:

• Lead analytics strategy and execution for a core product domain, aligning priorities with product, design, and engineering partners
• Translate ambiguous business and product questions into structured analytical approaches and measurable outcomes
• Deliver high-impact insights that inform product decisions, improve player experience, and drive business performance
• Define and evolve KPIs, measurement frameworks, and reporting to support decision-making at multiple levels of the organization
• Lead cross-functional collaboration to ensure high-quality data, scalable solutions, and effective use of insights across the product lifecycle
• Act as a trusted advisor to senior stakeholders, influencing decisions through clear, data-driven narratives
• Leverage and advance the use of AI and automation to accelerate speed to insight, improve analytical scalability, and enhance how insights are generated and consumed across the organization

Qualifications:

• 7+ years of experience in analytics, data science, or a related field
• Proven experience as a senior IC driving strategy and impact in complex, ambiguous environments
• Experience working on live service games or similar digital products
• Strong expertise in SQL and experience with Python or R for statistical analysis
• Deep experience with experimentation (A/B testing), causal inference, and measurement frameworks
• Experience working with large-scale telemetry data and player behavior analysis
• Ability to influence senior stakeholders and translate data into actionable insights
• Strong communication and storytelling skills, including executive-level presentations
• Experience working cross-functionally across disciplines, including product, design, engineering, data science, data engineering, and BI teams
• Familiarity with personalization systems, machine learning applications, or AI-driven analytics is a plus