Analytics Intern
- Vancouver, BC, Canada
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Job details
- Posting language
- English
- Posted
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.
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.
The Enterprise Intelligence (EI) team is involved in every aspect of data at EA, using it to deliver valuable insights and solutions for game teams and players. We drive strategy, build data and AI tools, and support personalization, experimentation, and analytics. Join D&I to work with experts dedicated to improving understanding, workflows, and player experiences.
The Role
As an Analytics Intern on The Sims, you will work with massive volumes of player behavioural data to deliver insights to inform game development. You’ll join a group of experienced analysts as a member of the embedded-and-dedicated analytics team and work closely with a large but tight-knit studio of enthusiastic industry craftspeople from all walks of life.
This is a hybrid role based in Vancouver. You will report into an Advanced Analyst.
Key Responsibilities
Build dashboards and insight reports to help partners make better, faster decisions
Propose and analyze experiments and causal studies to drive business performance
Generate gameplay and player behaviour insights, embedding data in daily decision-making
Present findings to both technical and non-technical audiences
Explore and apply generative AI tools to increase the efficiency of your own work and support scalable insights
Qualifications
Pursuing an undergraduate degree in Statistics, Economics, Physics or a related field
Experience with SQL (able to write aggregations, joins, window functions)
Experience with at least one programming language for data analysis (e.g., Python, R)
Experience working with large datasets (e.g., coursework, research, or internships)
Experience with visualization tools (e.g., Looker)
Familiarity with basic statistical concepts (e.g., probability, correlation, regression)
Familiarity with experimentation
Familiarity with causal inference is a bonus
Familiarity with generative AI is a bonus
Passion for gaming; familiarity with The Sims™ or life simulation titles
You must be available for a full-time paid internship in the summer of 2027.
At this time, we are considering Undergrad students who will be enrolled in an accredited degree program in the summer of 2027, slated to graduate no earlier than December 2027. 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.
Pay Transparency - North America
- British Columbia (depending on location e.g. Vancouver vs. Victoria) *$60,000 - $65,000 CAD
Pay is just one part of the overall compensation at EA.
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
216232
Worker Type
Intern - Temporary Employee
Studio/Department
CT - Data & Insights
Work Model
Hybrid
More about this job
Responsibilities
The intern will build dashboards and analyze player behavioral data to provide actionable insights for game development. They will also design experiments and utilize generative AI tools to improve analytical efficiency and support decision-making.
Requirements
Candidates must be pursuing an undergraduate degree in Statistics, Economics, Physics, or a related field with a graduation date no earlier than December 2027. Proficiency in SQL and at least one programming language like Python or R is required, along with experience working with large datasets.
Skills
- SQL
- Python
- R
- Data analysis
- Looker
- Statistics
- Data visualization
- Experimentation
- Causal inference
- Generative AI
- Dashboarding
- Reporting
- Player behavior analysis
- Game development support
Benefits
- Healthcare coverage
- Mental well-being support
- Retirement savings
- Paid time off
- Family leaves
- Complimentary games
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Creative & Media
Keywords
- Analytics
- Data Science
- SQL
- Python
- R
- Looker
- Statistics
- Economics
- Physics
- Generative AI
- Data Visualization
- Experimentation
- Causal Inference
- Player Behavior
- Game Development
- Dashboarding
- Enterprise Intelligence
- Data Analysis
- Life Simulation
- The Sims