Expert Analyst - Apex Legends, Enterprise Intelligence (EI)
Summary
Analyzes player data and runs experiments to guide strategy for Apex Legends, using SQL, Python, and A/B testing to improve gameplay and business outcomes.
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