The Enterprise Intelligence (EI) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences.
The Expert Analyst will report into a Sr. Manager of Insights for Apex Legends. This is a hybrid remote/in-office role.
Responsibilities
Strategy & Domain Leadership: Lead analytics strategy and execution for a core product domain, aligning priorities with product, design, and engineering partners
Problem Structuring: Translate ambiguous business and product questions into structured analytical approaches and measurable outcomes
Business Impact: Deliver high-impact insights that inform product decisions, improve player experience, and drive business performance
Measurement & KPIs: Define and evolve KPIs, measurement frameworks, and reporting to support decision-making at multiple levels of the organization
Cross-functional Execution: Lead cross-functional collaboration to ensure high-quality data, scalable solutions, and effective use of insights across the product lifecycle
Stakeholder Influence: Act as a trusted advisor to senior stakeholders, influencing decisions through clear, data-driven narratives
AI & Scalable Insights: 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