Electronic Arts

Electronic Arts is looking for high performing students to join our world-class internship experience. Summer 2026 will be better than ever as we bring all interns together on-site for orientation week and prep students for the future ways of work by offering remote and hybrid opportunities depending on your location. For more information about our Emerging Talent Program, visit https://www.ea.com/careers/interns-and-university-graduates

Our Analytics team partners with product, engineering, and operations to improve player safety, content moderation, and user-generated experiences across our games. We work with large-scale digital product data, investigate player behavior, and build metrics that guide decisions at scale.

Reporting to the senior manager of the team, this internship is designed for technically strong students who want to sharpen their SQL, experimentation, and product analytics skills while working on impactful real-world problems.

Responsibilities

• Write complex SQL queries to extract, clean, and transform event-level player and product data

• Investigate product performance questions, such as “Why did engagement volume drop 10%?” or “Which features drive retention?” and deliver insights through dashboards, reports or presentations

• Collaborate with senior analysts to build, validate, and document core metrics (e.g., DAU, retention, funnel conversion, false positive/negative rates)

• Develop dashboards and visualizations in Looker for tracking KPIs

• Assist with A/B test design and analysis, ensuring results are statistically valid

Qualifications

• Pursuing a bachelors degree in Data Science, Statistics, Computer Science, Mathematics or Economics

• Strong foundation in SQL (able to write queries with joins, window functions, aggregations)

• Familiarity with at least one programming language for analysis of large datasets (Python preferred; R also acceptable)

• Understanding of basic statistical concepts (significance testing, confidence intervals, sampling, prediction, inference, clustering

• Experience working with large datasets (coursework, research, or internships)

• Bonus: prior exposure to product analytics concepts (funnels, retention, engagement metrics)

You must be available for a full-time paid internship in the summer of 2026.

At this time, we are considering Undergrad students who will be enrolled in an accredited degree program in the summer of 2026, slated to graduate no earlier than December 2026. Applicants must be legally authorized to work in Canada on a full-time basis during the 16-week internship. Visa sponsorship is not available for this position.

Please ensure that your graduation date is visible on your resume.