# Expert Analyst - EA Sports Analytics, Enterprise Intelligence

**Company**: Electronic Arts
**Location**: Orlando, Florida
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/fi_FI/careers/JobDetail/Expert-Analyst-EA-Sports-Analytics-Enterprise-Intelligence/216009?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2d1e0352-2b2

## Description

Reporting to the Director of Analytics, you will be the embedded analytics lead for a new EA SPORTS title in development. This is a senior role focused on building analytics from the ground up: defining success metrics, shaping telemetry, modeling game systems, and helping the team make better product decisions from early testing through launch and beyond.

Responsibilities:

- Build the analytics foundation for a new EA SPORTS title, including measurement frameworks, telemetry requirements, metric definitions, and insight roadmaps.

- Own and execute the analytics roadmap from user tests through launch and live service; translate product milestones into clear analytics and data deliverables.

- Partner with Product, Design, and User Research teams to conduct analysis and modeling of player behavior, progression systems, retention systems, and monetization systems.

- Define telemetry, data quality, and reporting requirements; partner with Data Engineering and Data Architecture to ensure trusted, scalable data and reporting.

- Develop the analytical foundations needed to support experimentation, segmentation, and personalization.

- Elevate how insights are used across feature development, user tests, launch readiness, and live-service evolution.

Qualifications:

- 7+ years of professional experience informing product strategy with data analysis in gaming or adjacent digital products with high independence.

- Degree in a quantitative field (e.g., Computer Science, Statistics, Economics, or related discipline).

- Expert–level SQL proficiency with experience extracting insights from complex datasets.

- Experience designing self-service dashboards using Tableau, Looker, or other similar tools.

- Experience using Python or similar for analysis, modeling, segmentation, or experimentation.

- Experience with free-to-play live service games, player retention, or economy systems.

## Skills

### Required
- SQL
- Tableau
- Looker
- Python
- data analysis
- game development

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/fi_FI/careers/JobDetail/Expert-Analyst-EA-Sports-Analytics-Enterprise-Intelligence/216009?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
