Electronic Arts Logo

Base City: 

Remote-Canada - Remote

Salary: 

$89k to $123k

Rating: 

Self-taught: 

Position Type: 

Full-time

Position Keywords: 

Required: 

Bachelor of Science (Quantitative)

Experience: 

4 Years Data Analytics

Other Experience: 

  • A bachelor's degree in Business, Statistics, Mathematics, Economics, Data Science, Analytics, or a related field.
  • 4+ years of experience in an analytics role performing quantitative analysis with big data to help guide decisions.
  • Experience in SQL and ability to extract data from large data sources with differing structures.
  • Experience with data visualization software (e.g. Tableau, PowerBI, Looker).
  • Passion for mobile lifestyle gaming is a plus.

About the Job: 

We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.

What they want you to do: 

Covet Fashion is seeking an inquisitive and experienced Data Analyst to join our Product Management team. Reporting to the Director of Product, you will work with partners to understand player engagement, session behaviors, game usage and spending habits, and to identify product growth opportunities. You will use your skills to provide data-driven solutions to complex problems, translate qualitative/quantitative data into insights, and create recommendations to steer the product development and live operational roadmaps.

Responsibilities

  • Collaborate with product, design, and engineering to deliver insights into user behavior and to guide product decisions.
  • Help design, implement and report on A/B tests aimed at enhancing the user experience, utilizing statistical methods to draw meaningful conclusions.
  • Analyze player segments and behavior to support tailored content strategies.
  • Perform advanced statistical analyses to identify trends, patterns, and provide actionable insights.
  • Develop dashboards and self-serve tools to communicate findings and performance metrics to our partners and encourage the use of data in product decisions.
  • Communicate results and findings throughout the organization to all levels of leadership.

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