Data Analyst (Ads & Sponsorships)

We are seeking a Data Analyst (Ads & Sponsorships) to join our Marketing team at Electronic Arts. As a Data Analyst, you will manage monthly reporting deliverables for in-game advertising inventory, develop scalable data models, and construct essential dashboards for the Ads & Sponsorships (A&S) team.

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 cut manual steps out of 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 the 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 as well as 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, MBA or Master's degree in Statistics or 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.
• Summarize 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, and prioritization 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).