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Data Analyst Lead
1 week ago
Company Overview
Electronic Arts is a leading entertainment company that creates next-level experiences for players and fans worldwide. Our vision is to build a community that connects across the globe, where creativity thrives, new perspectives are invited, and ideas matter.
About the Role
We're seeking an experienced Data Analyst to join our team and play a key role in analyzing operational data to improve Quality Verification strategies for EA SPORTS FC. As a Data Analyst, you will be responsible for assembling data from multiple sources, conducting analyses, performing research, designing, documenting, and implementing analytical solutions. Your insights will influence how we build and verify the quality of our games and improve our business processes through data-driven decisions.
Key Responsibilities
- Assemble data from multiple sources and conduct analyses to inform business decisions
- Presents analysis conclusions to internal customers in a clear, understandable, and valuable way
- Communicate with team members and business stakeholders to ensure seamless collaboration
- Built metrics reporting systems and track process improvements across the organization
- Conduct analysis using statistical software, databases, spreadsheets, and reporting tools
- Designs, evaluates, and monitors key metrics, understanding root causes of changes in metrics
- Develops and maintains scripts and queries to import, manipulate, clean, and transform data from different sources
Requirements
- Minimum 3 years of experience as a Data Analyst
- Technical expertise in SQL, NoSQL, and ElasticSearch
- Advanced knowledge of Microsoft Power BI and/or Tableau, including expert techniques for creating impactful charts and reports
- Familiarity with best practices for staging and modeling unstructured data to effectively address business problems
- Strong skills in tools like R, advanced MS Excel (including VBA, PivotTables, and array functions), or similar tools for uncovering data patterns and correlations using statistical methods
- Solid foundation in statistics, simulation, and optimization techniques