Senior Data Analyst

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. We are looking for a Senior Data Analyst to join our analytics team supporting a high-definition title in development. In this hybrid role based in Vancouver, you’ll collaborate with product managers, engineers, game designers, and quality teams to enhance player experiences and drive business outcomes through data. Reporting to the Senior Manager of Analytics, you’ll use your expertise to inform strategic decisions across product optimization, gameplay features, technology, testing, and overall quality. What You'll Do Analyse player and product data to uncover patterns and recommend opportunities to improve performance, stability, automation and test coverage and bug metrics Build dashboards, reports, and visualisations that help stakeholders make better, faster decisions Contribute to the development of predictive models and other applications of machine learning that personalise player experiences or support product decisions Explore and apply generative AI tools to increase the efficiency of your own work and support scalable insights Work with partners to define the right questions to ask and the right data to use, helping embed data in daily decision-making Present findings to both technical and non-technical audiences What You'll Bring 3+ years of experience in data analysis or applied analytics, in gaming, mobile apps, or other digital products Proficiency in SQL for querying large datasets; experience with analysis and modelling in Python or R Experience with visualisation tools such as Looker, PowerBI Ability to translate business needs into technical data requirements Experience with or interest in using machine learning and generative AI tools to support analytics or player insights You will use storytelling to convert business objectives into analytical questions, and communicate results with practical recommendations and actionable steps. Excellent problem-solving and communication skills Ability to independently manage assigned tasks including work planning for assigned deliverables 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) *$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 equity. 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.

Analyze player and product data to identify patterns and recommend improvements for performance, stability, and player experience. Build dashboards and predictive models to support strategic decision-making and present findings to diverse stakeholders.

Requires 3+ years of experience in data analysis for gaming or digital products, with proficiency in SQL and Python or R. Candidates should have experience with visualization tools like Looker or PowerBI and an interest in machine learning and generative AI.

• Vacation • Sick time • Paid top-up to EI/QPIP benefits • Extended health/dental/vision coverage • Life insurance • Disability insurance • Retirement plan • Bonus • Equity • Mental well-being support • Complimentary games

• Analyse de donnéesSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Python
• R
• Looker
• PowerBI
• Data Analysis
• Machine Learning
• Generative AI
• Data Visualization
• Predictive Modeling
• Storytelling
• Problem-solving
• Communication
• Work Planning

• Data & Analytics
• Technology
• Creative & Media
• Software
• Engineering

Expérience minimale

3+ ans

Postuler avant le

24 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level