What a QV Data Analyst does at EA:

• 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.

Our Next Data Analyst needs:

Experience

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

Tools

• 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.

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