Electronic Arts

Marketing Analyst

The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate business outcomes in service of our goals.

The EA Marketing Analytics team is looking for an analytics professional to take on the role of Marketing Analyst in Vancouver, British Columbia, Canada, reporting to the Director of Franchise Marketing Analytics. We are looking for someone who can take our analytics to a new level by digging into diverse data sets relating to our marketing campaigns, applying leading-edge data analytics techniques, extracting insights, creating data visualizations and communicating recommendations to our marketing partners in ways that create clarity, guide action, and bring impact. If you can combine this with a pioneering spirit, commitment to team success, and an interest for the video game industry, this might just be the right job for you.

Responsibilities

• Analyze data across channels (paid media, video, social, web, email) to identify performance drivers

• Build visualizations and presentations that translate data into clear recommendations

• Partner with marketing teams to define questions and inform campaign decisions

• Structure analyses to align data inputs with business goals

• Manage multiple projects involving data collection, analysis, and reporting

• Collaborate with global teams to share insights and align on measurement approaches

Required Qualifications

• Bachelor's degree in a quantitative field or economics

• 1–3 years experience in analytics or marketing analytics

• Experience applying statistics, probability, and hypothesis testing

• Experience querying data using SQL across multiple datasets

• Experience using R or similar tools to build descriptive or predictive models

Core Skills and Experience

• Translate business questions into structured analytical approaches

• Apply methods such as regression, clustering, or correlation analysis

• Create clear data visualizations to support decision-making

• Communicate insights through presentations and written summaries

• Work across teams and manage priorities across concurrent projects