Director of Analytics, The Sims at Electronic Arts
Redwood City, California, USA -
Full Time


Start Date

Immediate

Expiry Date

09 Nov, 25

Salary

289700.0

Posted On

09 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, R, Sql, Python, Analytics, Communication Skills

Industry

Information Technology/IT

Description

GENERAL INFORMATION

Locations: Redwood City, California, United States of America
Role ID
210103
Worker Type
Regular Employee
Studio/Department
CT - Data & Insights
Work Model
Hybrid

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.

How To Apply:

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Responsibilities

THE ROLE

As the Director of Analytics for The Sims Franchise, you will lead analytics strategy and execution across a globally recognized and evolving product portfolio. You will manage a team of data analysts, managers, engineers and architects. You will work with partners in product management, game development, finance, and marketing to inform decisions that shape the player experience and drive business performance. This role is based in Redwood Shores, CA, with a hybrid work model (3 days per week in office). You will report to the Senior Director of Analytics and be a key member of the franchise leadership team.

WHAT YOU’LL DO

  • Lead the Franchise-wide analytics vision and roadmap to support player experience, product development, and business goals
  • Manage, mentor, and grow a team of analysts and team leads, creating a supportive, accountable, and proactive team culture
  • Build strong partnerships with senior leaders across Product, Game Development, Finance, and Marketing
  • Guide the team in using SQL, experimentation, player telemetry, and statistical modeling to answer uncover opportunities and inform critical live service decisions.
  • Help define KPIs, measurement frameworks, and long-term analytics goals for the franchise
  • Conceive of and lead machine learning initiatives that personalize the player experience, such as dynamic content recommendation, and integrate these solutions into A/B testing strategies
  • Identify and support practical use cases for generative AI and automation tools to increase team productivity and insight generation
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