Description
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
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
- 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
Compensation and Benefits
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
- British Columbia (depending on location e.g. Vancouver vs. Victoria) $133,500 - $186,400 CAD
- California (depending on location e.g. Los Angeles vs. San Francisco) $165,000 - $256,000 USD
- Ontario $133,500 - $179,700 CAD