Senior Manager of Analytics - EA Mobile

Electronic Arts

Hybrid

Quick summary

Work type
Hybrid
Location
Los Angeles, CA
Salary
$165,000–$256,000 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $210k
$134k most similar roles pay here $269k

This role pays more than 61% of similar roles. Most pay $165,000–$224,062 — the shaded band above. At the midpoint, this role pays about $210k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

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 75 open roles on FindRole.

Listed pay typically runs $122,300–$184,000 across 41 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · Senior Manager of Analytics - EA Mobile

The Senior Manager of Analytics at EA Mobile in Los Angeles will lead the data strategy and insight generation for all mobile titles, managing a team of analysts to drive product decisions and live service strategies. This role involves designing foundational data infrastructure, analyzing behavioral data, and collaborating with cross-functional teams to integrate data into product development processes. Key responsibilities include hiring and mentoring analysts, implementing machine learning models, and evaluating generative AI tools to enhance productivity. The ideal candidate has 5+ years of analytics or data science experience, strong SQL skills, proficiency in Python/R for data analysis, and familiarity with BI tools like Looker/PowerBI. They should also have a deep understanding of statistical methods and experience applying machine learning techniques to real-world problems.

What you'll do

  • Lead the design and implementation of foundational data infrastructure for mobile titles.
  • Hire, manage, mentor, and grow a team of analysts to drive product decisions.
  • Analyze behavioral data to identify opportunities to improve player retention and monetization.
  • Guide the development and application of machine learning models for personalizing player experiences.
  • Define and execute experimentation strategies using A/B testing methods to validate product changes.
  • Evaluate and apply generative AI tools to automate insight generation and enhance team productivity.

What we're looking for

  • 5+ years of experience in analytics or data science
  • 2+ years of managing people, focusing on performance development and team building
  • Strong communication skills for diverse audiences
  • Proficiency in SQL, Python/R for data analysis, and BI tools like Looker/PowerBI
  • Deep understanding of statistical methods including regression, classification, forecasting
  • Experience applying machine learning techniques to real-world problems
  • Familiarity with experimentation design and generative AI applications

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