Electronic Arts (EA)Verified Job Source

Advanced Data Analyst - EA Sports FC Live

Vancouver, BC
Hybrid
Posted Oct 3, 2026
1 position

$114,300–$156,200 / year

Opens an external site

Employment type: Full-time
Experience level: Senior · 7+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

The analyst will lead forecasting and performance modelling for the FC live service business to inform strategic decision-making. They will collaborate with cross-functional teams to project funnel metrics and present insights to executive leadership.

Job details

GENERAL INFORMATION Locations: Vancouver, British Columbia, Canada Role ID 214116 Worker Type Regular Employee Studio/Department EA Studios - SPORTS Work Model Hybrid DESCRIPTION & REQUIREMENTS 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. Advanced Data Analyst - FC Live Service Forecasting Our FC Data & Analytics team is looking for an Advanced Analyst to join our group, leading forecasting and performance modelling for FC’s live service business. Reporting to a Senior Analytics Manager, you will be part of a growing team providing data and insights around player behaviour and live content performance within the FC franchise. We’re looking for someone who combines strong quantitative forecasting expertise with business intuition, bringing the ability to translate historical trends, player behaviour, and live content strategies into actionable projections that inform decision-making. This role sits at the intersection of analytics, strategy, and live service operations - helping shape how FC plans and measures performance at scale. What you'll do on our team: * Own the forecasting framework that underpins performance measurement, planning, and strategic decision-making across FC’s live service business. * Employ an extensive toolkit of financial modelling techniques, time series analysis, and a deep knowledge of their use cases. * Develop a robust model that projects our live service funnel metrics to a high degree of fidelity, incorporating player behaviour, in-game content, and macroeconomic trends. * Collaborate with partners across Product Management, Finance, and Commercial teams to align on projections, and keep the business updated on how our latest live service performance impacts our model’s assumptions. * Establish scalable forecasting processes that enable us to work with our cross-functional partners to efficiently & effectively refine our projections over time. * Lead presentations to diverse audiences including senior and executive level management, distilling complex model results into clear insights & recommendations. * Run risk and opportunity scenarios based on live content plans, new feature additions, and other potential changes in the FC product. * Mentor and collaborate with other analysts in order to collaboratively develop our forecasts, working together to drive evolutions in our modelling in this space. What we're looking for: * A degree in a quantitative discipline (Analytics, Statistics, Mathematics, Economics, Finance, or similar) * 7+ years of experience in a data-driven role performing quantitative analysis with big data to help guide decisions * 4+ years of experience developing financial/product performance projections and forecasts using various modelling techniques * Strong experience in statistical and/or time series modelling for predictive purposes * Expertise in SQL and working with large-scale, complex datasets * Proficient in analyzing large datasets using programmatic tools (e.g. Python, R) * Experience with data visualization software (e.g. Tableau, PowerBI) * Strong capabilities in project management processes * Very comfortable presenting analysis in an executive facing environment Pay Transparency - North America 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). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$114,300 - $156,200 CAD Pay is just one part of the overall compensation at EA. 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 other incentive programs. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

What you’ll do

Requirements

Candidates must have at least 7 years of experience in a data-driven role and 4 years of experience in financial or product forecasting. A degree in a quantitative discipline such as Analytics, Statistics, or Finance is required.