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Data Analyst - Quality Verification - (EA Sports)

As a Data Analyst within the Analytic team, you will play a key role in analyzing our operational data to improve our Quality Verification (QV) strategies. You will 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.

Responsibilities:

• Receives questions from clients, understands the questions, and determines the data needed to find the solutions.
• Conducts analysis using statistical software, databases, spreadsheets, and reporting tools.
• Designs, evaluates, and monitors key metrics.
• Develops and maintains scripts and queries to import, clean, transform, and augment data.
• Builds live data dashboards complete with user documentation.
• Designs and develops statistical analysis models for hypothesis testing, prediction, or inference.
• Performs quality assurance to ensure accuracy and consistency for the information being delivered.
• Presents analysis conclusions to clients in a clear, understandable, and valuable way.
• Communicates clearly (and as often as needed) with team members and business partners.

Requirements:

• 1 – 3 years of work experience in a past analytical role

• Performs data analysis using MS Excel or other similar tools with a high degree of proficiency.
• Visualizes high readability data insights using software tools like Power BI, Tableau, or Excel.
• Understands well how data is stored in databases and can write fast and reusable SQL code to retrieve it.
• Writes efficient Python or R code to answer data analysis questions with a high degree of confidence.
• Understands the requirements of the of Agile/Waterfall process and adjusts their work as needed.

• Bachelor’s degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics, Economics etc.) and/or successful completion of post-secondary level Math and Statistics courses. Business Degree with specific statistics or data-related program specialty.

Skills

• Foundation of math and statistical knowledge including an understanding of probability, correlation, regression, classification, and the development of statistical models.
• Exceptional problem solving, creative thinking, and analytical skills.
• Ability to initiate and maintain close collaborative partnerships with coworkers and stakeholders.
• Ability to take ownership of projects and look for new problems to solve and new concepts to implement.
• Quick learner with an innate desire to continually learn, adapt and develop abilities.
• A skillful communicator who is not afraid to ask questions and brings new insights to light.
• Professionalism in working with clients and working in a team environment.