Expert Analyst, EA Sports Analytics, Enterprise Intelligence

Electronic Arts

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Orlando, FL
Posted
52 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $142k
$94k $184k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $117,000–$166,066.

Based on 240 similar postings.

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About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 45 open roles on FindRole.

Listed pay typically runs $141,400–$204,400 across 28 roles with salary data.

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At a glance

TL;DR · Expert Analyst, EA Sports Analytics, Enterprise Intelligence

As the Expert Analyst - EA Sports Analytics, Enterprise Intelligence, you will serve as the embedded analytics lead for a new EA SPORTS title within the Data & Insights department. This senior role involves building an analytics foundation from the ground up, including defining success metrics, shaping telemetry, and modeling game systems to support product decisions from early testing through live service. You will partner with Product, Design, and User Research teams to analyze player behavior, progression, retention, and monetization systems. Key responsibilities include developing measurement frameworks and reporting requirements while ensuring data quality. Required skills include a quantitative degree, expert SQL proficiency, and experience with Python for modeling or segmentation. You must also possess experience designing self-service dashboards using Tableau or Looker for free-to-play live service games.

What you'll do

  • Build the analytics foundation for a new title, including measurement frameworks and telemetry requirements.
  • Execute the analytics roadmap from initial user tests through launch and live service.
  • Model player behavior, progression systems, retention systems, and monetization systems.
  • Define telemetry, data quality, and reporting requirements in partnership with Data Engineering.
  • Develop analytical foundations to support experimentation, segmentation, and personalization.
  • Translate product milestones into clear analytics deliverables and insight roadmaps.
  • Elevate the use of insights across feature development and live-service evolution.

What we're looking for

  • 7+ years of professional experience informing product strategy with data analysis in gaming or adjacent digital products.
  • Degree in a quantitative field such as Computer Science, Statistics, Economics, or a 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.

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