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Added 11 mins ago
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Data Analyst - EA Sports FC
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Electronic Arts

Data Analyst - EA Sports FC

Vancouver, BC, Canada

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Job details

Experience: 2+ years of technical experience in data analytics, with a focus on performing quantitative analysis with large datasets to guide decision-making.
Posting language: English
Posted: Nov 9, 2026

Original job description

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.

Data Analyst – FC Analytics

As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

The FC Data & Analytics team is seeking a Data Analyst to join our team based in Vancouver. Reporting to a Senior Manager, you will collaborate closely with production, product management, and development partners to drive data-informed decisions across key EA SPORTS FC experiences, including Meta, Companion App, and Foundations.

We are looking for a candidate who is excited about uncovering actionable insights from player data, understanding player behaviour, and helping shape engaging experiences across the FC ecosystem. In this role, you will act as a data investigator, visualizer, and storyteller, helping teams measure feature success, identify opportunities for improvement, and make informed product decisions. You will also have the opportunity to develop your experimentation expertise, supporting the evaluation of new features and player experiences across multiple game modes.

What you'll do on our team:

Analyze player behaviour, engagement, retention, and monetization trends to evaluate feature performance and identify opportunities to improve player experiences across Meta, Companion App, and Foundations.
Develop and maintain scalable dashboards, recurring reports, and KPI monitoring to track product health, feature adoption, and performance across initiatives such as Season/Premium Pass, Profile, Companion App, PC, and UGX.
Collaborate with production and development teams to define telemetry requirements, establish success metrics, and ensure reliable measurement of new and existing features.
Write and maintain SQL queries and scripting workflows to extract, transform, and validate large-scale player telemetry datasets.
Support experimentation initiatives across The Grounds, Meta, and Live Operations, collaborating with Data Science partners on experiment design, measurement, analysis, and interpretation of results.
Identify opportunities to improve data accessibility, reporting consistency, and analytical processes, enabling stakeholders to make more effective use of data.
Present analytical findings and actionable recommendations clearly to cross-functional stakeholders, helping inform feature development, product strategy, and prioritization decisions.

What we're looking for:

Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Economics, Computer Science) or equivalent practical experience.
2+ years of technical experience in data analytics, with a focus on performing quantitative analysis with large datasets to guide decision-making.
Proficiency in SQL with the ability to extract and analyze data from complex, multi-source systems.
Hands-on experience with data visualization software (e.g., Tableau, Power BI) to build dashboards and communicate insights effectively.
Strong programming skills (e.g., Python, R) with experience writing scripts for data transformation and statistical analysis.
Strong analytical thinking, problem-solving, and communication skills, with the ability to translate complex data into clear, actionable recommendations.
Experience with or an interest in experimentation, A/B testing, and statistical methods for evaluating product changes is considered a plus.
Passion for gaming or previous experience in the gaming industry is considered a plus.

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) *$77,700 - $107,900 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.

General Information

Locations: Vancouver, British Columbia, Canada

Role ID

216637

Worker Type

Regular Employee

Studio/Department

EA Studios - SPORTS

Work Model

Hybrid

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More about this job

Responsibilities

The Data Analyst will analyze player behavior, engagement, and monetization trends to drive data-informed decisions across EA SPORTS FC experiences. They will also develop dashboards, define telemetry requirements, and collaborate with cross-functional teams to evaluate feature performance.

Requirements

Candidates must have a bachelor's degree in a quantitative field and at least 2 years of technical experience in data analytics. Proficiency in SQL, data visualization tools, and programming languages like Python or R is required.

Skills

Data analysis
SQL
Python
R
Tableau
Power BI
Data visualization
Statistical analysis
A/B testing
Experimentation
KPI monitoring
Data storytelling
Telemetry
Quantitative analysis
Product strategy

Benefits

Vacation
Sick time
Paid parental leave
Extended health coverage
Dental coverage
Vision coverage
Life insurance
Disability insurance
Retirement plan
Mental well-being support
Complimentary games

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
EA Sports FC
SQL
Python
R
Tableau
Power BI
Telemetry
KPI
A/B Testing
Experimentation
Player behavior
Monetization
Data visualization
Quantitative analysis
Gaming industry
Product management
Dashboards
Statistical methods
Data science

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