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Urgent! Sr. Data Analyst, Supply Chain Job Opening In USA, USA – Now Hiring Home Depot

Sr. Data Analyst, Supply Chain



Job description

Position Purpose:

A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories.

Responsible for working collaboratively among other talented analysts to apply established and create new 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 seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists.


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

  • Direct Manager/Direct Reports:
  • This position reports to Manager or Sr 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:
  • 2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
  • An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)
  • Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)
  • 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.
  • Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.

  • 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:
  • 2

  • 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.


  • Required Skill Profession

    Mathematical Science Occupations



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