Electronic Arts

Data Analyst 

As a Data Analyst you will play a key role in analyzing our operational data to improve our Quality Verification strategies for EA SPORTS FC. You should be a sharp, curious, and analytic individual who has a passion for diving into data to solve business problems. Your insights will influence how we build and verify the quality of our games, and how to improve our business processes through data insights.

The Data Analyst will be responsible for assembling data from multiple sources, conducting analyses, performing research, interacting with different internal customers, designing, documenting, and implementing analytical solutions, as well as compiling and presenting results, in graphical and written summaries, to a variety of audiences. You will be responsible for building metrics reporting systems and for tracking process improvements across the organization. You will excel in a fast-paced environment, managing multiple responsibilities and deadlines in an internationally based team. The ideal candidate would be an effective communicator who combines solid technical skills with pride in excellence, who also demonstrates the potential to grow into a client-facing consulting role and/or an analytical consulting role (i.e. development of simulation models).

What a Data Analyst does at EA:

• Assembles data from multiple sources, conducts analyses, performs research, designs, documents and implements analytical solutions.    
• Presents analysis conclusions to the internal customer in a clear, understandable, and valuable way.
• Communicates with team members and business stakeholders.
• Presents high quality reports and findings in Power BI or as presentations.
• Builds metrics reporting systems and tracks process improvements across the team.
• Conducts analysis using statistical software, databases, spreadsheets, and reporting tools
• Designs, evaluate and monitor key metrics, understanding root causes of changes in metrics
• Develops and maintains scripts and queries to import, manipulate, clean, transform data from different sources
• Builds and shares live dashboards and reports complete with user documentation
• Builds and trains statistical models for hypothesis testing
• Performs quality assurance on generated results to ensure accuracy and consistency
• Presents conclusions in a clear and concise way
  
  The next great Data Analyst needs: 

• Experience: A minimum of 3 years as a Data Analyst.
• Technical Expertise: Proficiency in SQL, NoSQL, and ElasticSearch.
• Data Visualization: Advanced knowledge of Microsoft Power BI and/or Tableau, including expert techniques for creating impactful charts and reports.
• Unstructured Data Management: Familiarity with best practices for staging and modeling unstructured data to effectively address business problems.
• Data Analysis Tools: 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.
• Mathematical and Analytical Skills: A solid foundation in statistics, simulation, and optimization techniques.
• Passion for Football Games: A genuine enthusiasm for football games, which is highly beneficial as the role is dedicated to the FC Gameplay area.