Data Analyst
Electronic Arts
Bucharest, Bucharest, Romania
6 zile în urmă

Requisition Number : 161476Date Opened :

Data Analyst

The Data Analyst will focus on data within the Quality Verification team, bringing a keen eye for spotting patterns, identifying risk and opportunity.

We are looking for excellent communication skills along with a tool belt of advanced technical knowledge with SQL and Excel.

What a Data Analyst does at EA :

  • Receives questions from the game team, understands the questions, and determines the data needed to answer them.
  • Assembles data from multiple sources, conducts analyses, performs research, designs, documents and implements analytical solutio
  • Develop and maintain scripts and queries to import, manipulate, clean, transform data from different sources.
  • Presents analysis conclusions to the game team in a clear, understandable, and valuable way. Tells compelling stories supported by data using visualization tools (Power BI, Tableau or similar)
  • Takes responsibility and ownership for their active projects, always looking for new problems to solve and new concepts to implement.
  • Builds metrics reporting systems and tracks process improvements across the team.
  • Communicates clearly (and as often as needed) with team members and business stakeholders.
  • Builds strong relationships across the data analyst community, to share knowledge and learn from others.
  • The next great Data Analyst needs :

  • years in a past analytical role.
  • Expert data visualization techniques for charts and reports - good knowledge of Microsoft Power BI and / or Tableau.
  • 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.
  • University degree in a technical field (. Computer Science, Statistics, Engineering, Mathematics, Operations Research, etc.)
  • Good math and analytical skills including statistics, simulation, and optimization.
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