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# Data Analyst II

- **Company:** Electronic Arts Inc.
- **Location:** Madison, WI, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Apache HTTP Server, BigQuery, Data Governance, Software Debugging, Github, Python (Programming Language), Linear Regression, Logistic Regression, Machine Learning, SQL Databases, Data Processing, Snowflake, Information Technology, Functional Programming, Looker Analytics, Software Version Control, Databricks
- **Published:** September 27, 2026
- **Apply:** https://www.juju.com/job/16_2555be70

## About the Role

* Proficiency with a statistical programming language, such as R or Python. This includes functional programming, commonly used data-processing packages, and the development of clear, maintainable analytical code.
 * Working proficiency with SQL, including the ability to write, interpret, and debug complex queries in a cloud data warehouse environment, such as Snowflake.
 * Understanding statistical modeling techniques such as linear regression, logistic regression, and machine learning is desired.
 * Familiarity with education data standards such as Ed-Fi, or demonstrated ability to learn and apply complex data standards and business rules.
 * Experience working with business intelligence tools, with Apache Superset preferred.
 * Comfort working in an evolving technical environment and adopting new tools, including AI-assisted technologies, to improve the efficiency and quality of analytical work.
 * Experience using Git and GitHub for version control and collaborative development.
 * Experience with dbt is a plus. Experience with other modern data and analytics tools, such as Databricks, BigQuery, or Looker, is also relevant and welcome.
 * Strong organizational and time-management skills, with the ability to prioritize multiple responsibilities in a fast-paced environment with limited direction.
 * Strong communication skills, including the ability to explain complex data, analytical methods, and technical concepts clearly to both technical and non-technical audiences., * Minimum bachelor's degree or equivalent relevant experience in Statistics, Economics, Computer Science, Mathematics, Data Science, or a related field.
 * At least one year of relevant professional experience in a Data Analyst or related role, including progressively independent analytical work.



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