As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.
With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.
Data Analyst
As a Data Analyst you will play a key role in analyzing our operational data to improve our Quality Verification strategies for the EA Sports titles. 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:
- Relevant experience in a past analytical role.
- Expert data visualization techniques for charts and reports - good knowledge of Microsoft Power BI and/or Tableau.
- Unstructured Data handling - Know best practices on how to stage unstructured data and properly model it to solve the problem at hand
- Must have very good database and SQL knowledge, NoSQL and elastic search - a strong bonus.
- Data Analysis - good knowledge of R language, MS Excel mastery, including VBA, PivotTables, and array functions - or other similar tools used for discovering data patterns and correlations through statistical methods.
- Good math and analytical skills including statistics, simulation, and optimization.