Description
Electronic Arts creates incredible entertainment experiences that inspire gamers and fans worldwide. Here, everyone is part of the story, part of a community that connects people globally. It's a place where creativity thrives, new perspectives are welcomed, and ideas matter.
As a Data Analyst (Ads & Sponsorships), you will manage monthly reporting deliverables for in-game advertising inventory and develop scalable data models and essential dashboards for the Ads & Sponsorships (A&S) team. You will partner with AdOps, AdTech, Product Management, and game analytics groups across game studios to ensure reporting data remains accurate, documented, and streamlined through automation.
Responsibilities:
- Align with the AdOps team each month on which campaigns are included in reporting, then create and consistently publish reports for all custom A&S inventory across EA titles.
- Act as the A&S business lead with AdTech on report automation , define requirements, validate output, and eliminate manual steps from the monthly cycle.
- Collaborate with the Product Management team to ensure new inventory is included in standardized reporting.
- Maintain documentation of reporting queries and KPI calculations so results are reproducible and auditable.
- Bridge the reporting gap for A&S inventory in mobile titles and work towards automation.
- Build and maintain the A&S team dashboards to support Sales, AdOps, Product Management, and Revenue Strategy functions.
- Manage access and permissions for A&S dashboards.
- Apply working knowledge of data engineering concepts to design and maintain internal A&S data models and databases, and provide inputs and guidance to AdTech partners on data pipeline migration.
- Build partnerships with studio analytics teams to understand each team's data taxonomy.
- Fulfill ad hoc telemetry and data requests across the A&S team.
Qualifications:
- 1+ years of experience in analytics, reporting, or business intelligence; internship experience counts.
- Bachelor's, MBA, or Master's degree in Statistics or a related field with knowledge in the application of statistics using analytics software.
- Database knowledge, including table structures, views, queries, and SQL statements, including window/analytic functions.
- Competent with at least one analytics software package (Python, R, SAS, or SPSS) and comfortable working in Excel (can write advanced macros).
- Hands-on experience building and maintaining dashboards in a BI tool (e.g., Tableau, Power BI, or Looker), and generating graphs and visuals that make an insight easy to understand.
- Summarise data using the right statistical terms and explain those concepts to non-statistical audiences in plain language.
- Familiar with core data engineering concepts , pipelines, schemas, ETL, and telemetry , enough to be a useful partner to engineering teams.
- Clear documentation habits, prioritisation recommendations, give effort estimates, and flag scheduling conflicts early.
- An interest in games: you play EA titles across platforms and follow industry and tech news.
- Exposure to digital advertising metrics (impressions, reach and frequency, viewability) or game telemetry data.
- Familiar with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
Benefits: Electronic Arts offers a comprehensive benefits package, including medical insurance, mental wellbeing support, pension plans, paid time off, family leave, free games, and more. We foster environments where our teams can give their best in what they do.
Equal Opportunities: Electronic Arts offers equal opportunities. All employment decisions are made without regard to race, colour, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, disease, pregnancy, marital status, family status, military status, or any other characteristic protected by law.