Description & Requirements 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
Pay Transparency - North AmericaCOMPENSATION 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).
PAY RANGES* 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
Pay is just one part of the overall compensation at EA.
In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.
For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
This role is for a newly-created position.
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