# Data Analyst (Ads & Sponsorships)

**Company**: Electronic Arts
**Location**: Kirkland, Washington
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Category**: Marketing
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/zh_CN/careers/JobDetail/Data-Analyst-Ads-Sponsorships/216218?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3f1cdbcc-655

## Description

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).

## Skills

### Required
- analytics
- reporting
- business intelligence
- statistics
- data engineering
- SQL
- Python
- R
- SAS
- SPSS
- Excel
- Tableau
- Power BI
- Looker
- data visualization
- statistical analysis
- data modeling
- database management

### Nice to have
- digital advertising metrics
- game telemetry data
- cloud data warehouses

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/zh_CN/careers/JobDetail/Data-Analyst-Ads-Sponsorships/216218?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)