Senior Analyst, Data & Analytics at Electronic Arts
Vancouver, BC, Canada -
Full Time


Start Date

Immediate

Expiry Date

09 Nov, 25

Salary

91100.0

Posted On

10 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

A/B Testing, Looker, Tableau, Forecasting, Mobile Apps, Causal Inference, Classification, Machine Learning, R, Modeling, Gaming, Data Analysis, Python, Sql

Industry

Information Technology/IT

Description

GENERAL INFORMATION

Locations: Vancouver, British Columbia, Canada
Role ID
210093
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:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

THE ROLE

We are looking for a Senior Analyst to join the analytics team supporting two new mobile titles in development. You will work closely with product managers, designers, and game developers to turn data into insights that shape player experiences and business outcomes.
This role reports to the Senior Manager of Analytics and is based in Burnaby, BC with an onsite work model.

WHAT YOU’LL DO

  • Analyze player and product data to uncover patterns and recommend opportunities to improve acquisition, retention, engagement, and monetization
  • Build dashboards, reports, and visualizations that help stakeholders make better, faster decisions
  • Collaborate with product and design teams to define metrics, design experiments, and evaluate results from A/B tests or other studies
  • Contribute to the development of predictive models and other applications of machine learning that personalize player experiences or support product decisions
  • Explore and apply generative AI tools to increase the efficiency of your own work and support scalable insights
  • Work with partners to define the right questions to ask and the right data to use, helping embed data in daily decision-making
  • Present findings clearly to both technical and non-technical audiences
Loading...