The Home Depot

Data Analyst


PayCompetitive
LocationNot available
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: Req134813

      With a career at The Home Depot, you can be yourself and also be part of something bigger.

      Position Purpose:

      A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively with other analysts to apply established analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeking out opportunities to hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and learn new skills. Operates under the supervision and mentorship of more experienced managers and data scientists.


      Key Responsibilities:
      • 30% Executes existing reporting and analytical responsibilities
      • 20% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
      • 20% Ensures the quality of work output by displaying a keen attention to detail
      • 20% Develops additional technical competencies and subject matter expertise within core functional group
      • 10% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture

      Direct Manager/Direct Reports:
      • This postion reports to Manager
      • This position has no Direct Reports

      Travel Requirements:
      • Typically requires overnight travel less than 10% of the time.

      Physical Requirements:
      • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

      Working Conditions:
      • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

      Minimum Qualifications:
      • Must be eighteen years of age or older.
      • Must be legally permitted to work in the United States.

      Preferred Qualifications:
      • Work experience with SQL Server, Teradata, Oracle, or comparable database systems
      • 1-3 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
      • Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)
      • B.S. in Computer Science, Math, Engineering, Finance or related quantitative field

      Minimum Education:
      • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

      Preferred Education:
      • No additional education

      Minimum Years of Work Experience:
      • 0

      Preferred Years of Work Experience:
      • No additional years of experience

      Minimum Leadership Experience:
      • None

      Preferred Leadership Experience:
      • None

      Certifications:
      • None

      Competencies:
      • Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
      • An unquenchable intellectual curiosity for getting at the underlying story being told within the data.
      • Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
      • Superior interpersonal skills and ability to collaborate actively and work in a team environment.
      • Ability to quickly learn and adapt to new technologies, tools, and techniques.

  • About the company

      The Home Depot, America’s home improvement retail leader, helps customers and Associates build success every day – and not just in our 2,200+ retail stores. Thousands of talented can-do people build amazing futures in field and corporate positions.

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