Description & RequirementsPlease note: this is a regular full-time (hybrid) role. Qualified applicants must be available to work in the Vancouver studio 3x per week. Canadian work authorization is required.
Data Analyst - FC Ultimate Team
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 Senior Data Analyst to join our Ultimate Team (UT) function. Reporting to a Senior Manager, you will collaborate closely with production and product management partners to drive data-informed decisions within a dynamic live service environment.
We are looking for a candidate who is excited at the prospect of uncovering actionable insights from live player data and contributing to the sustained success of one of the industry's most prominent live service products. In this role, you will act as a data investigator, visualizer, and designer, helping to enhance the core experiences of our global player base.
What you'll do on our team:
- Conduct quantitative analysis and financial modelling to evaluate feature design opportunities, assess risks, and support strategic investment decisions in UT.
- Collaborate with production teams to define telemetry requirements, ensuring robust data collection and validity.
- Write and maintain complex SQL and scripting workflows to extract, transform, and validate large-scale telemetry datasets.
- Build and maintain scalable dashboards that translate complex datasets into clear, actionable business insights for cross-functional partners.
- Explore user behavioral patterns to identify opportunities for improving player experiences and to inform live content release strategies.
- Present analytical findings clearly and effectively to stakeholders of all seniority levels to facilitate informed decision-making.
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 data from complex, multi-source systems.
- Hands-on experience with data visualization software (e.g., Tableau, Power BI).
- Strong programming skills (e.g., Python, R) with experience writing scripts for data transformation and statistical analysis.
- Passion for gaming or previous experience in the gaming industry is considered 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) *$92,900 - $129,200 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.
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