Job Description
EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs and cross-platform, digital experiences. We create connected experiences that ignite the emotion of sports through industry-leading video games, including Madden NFL football, FIFA soccer, NHL hockey, NBA LIVE basketball, and EA SPORTS UFC.
The Challenge Ahead:
As a Data Analyst you will focus on data within the FIFA QV Gameplay team, identifying patterns, risk and opportunity. You are curious and creative with a passion for diving into our data. Can work with our partners along with a tool belt of advanced technical knowledge with SQL and Excel (can maintain complex spreadsheets).
Responsibilities:
• You will report to the Analytics Manager and partner with your game team to design interactive and real-time dashboards and provide insights to influence game quality through data-informed insights
• Assemble data from multiple sources, conduct analyses, perform research, designs, documents and implement analytical solutions
• You develop scripts and queries to import, manipulate, clean, and transform data from different sources
• You present analysis conclusions to the game team in a clear, understandable, and valuable way. Tell compelling stories supported by data using Power BI
• You oversee your active project, always looking for new problems to solve and new concepts to implement
• You build metrics reporting systems and track process improvements across the team
• You converse with your team members and partners
• Build necessary relationships across the data analyst community, to share knowledge
Qualifications:
• 3+ years in a past analytical role that involved thinking of big pictures, suggesting changes to process, identifying risks and potential opportunities for data improvement
• 3+ years' experience building dashboards in PowerBI or Tableau, developing data models and data visualization techniques for charts and reports
• Expert SQL skills including experience querying complex data sets, NoSQL and elastic search is a bonus
• Data Analysis - good knowledge of R language, MS Excel mastery, including VBA, PivotTables, and array functions - or similar tools used for discovering data patterns and correlations through statistical methods
• University degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics, Operations Research, etc.)
• You are creative when approaching challenges and solving problems
• Good math and critical thinking including statistics, simulation, and optimization
• Ideally would have worked in an Agile environment with multiple partners
Jobcode: Reference SBJ-r7q508-3-81-165-210-42 in your application.