# Analytics Intern

**Company**: Electronic Arts
**Location**: Vancouver, British Columbia
**Work arrangement**: hybrid
**Job type**: internship
**Category**: IT
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/zh_CN/careers/JobDetail/Analytics-Intern/216232?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4efb70a7-5fb

## Description

The Enterprise Intelligence (EI) team at Electronic Arts is involved in every aspect of data, using it to deliver valuable insights and solutions for game teams and players. As an Analytics Intern on The Sims, you will work with massive volumes of player behavioural data to deliver insights to inform game development.

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

## Skills

### Required
- SQL
- Python
- R
- data analysis
- visualization tools
- statistics

### Nice to have
- causal inference
- generative AI

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/zh_CN/careers/JobDetail/Analytics-Intern/216232?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
