Data Analyst - Supply Chain

The Home Depot•Atlanta, GA

About The Position

The Data Analyst - Supply Chain uses technical skills to turn complex analytical work into clear, data-driven stories. The role collaborates with other analysts to apply established analytical processes to diverse datasets, uncover insights, and solve business problems. It completes reporting and analytical responsibilities accurately and on time while continuing to develop technical skills, such as SQL and coding, statistics, and machine learning, and gaining subject-matter expertise. The role operates under the supervision and mentorship of more experienced managers and data scientists.

Requirements

  • Be at least 18 years of age.
  • Be legally permitted to work in the United States.
  • Have the knowledge, skills, and abilities typically acquired through completion of a bachelor's degree program or equivalent degree in a related field of study.
  • Demonstrate critical thinking, including the ability to evaluate alternative solutions and anticipate implications of new information.
  • Show intellectual curiosity about the underlying story in data.
  • Have strong written and verbal communication skills and be able to explain complex findings clearly and influence others.
  • Have strong interpersonal skills and the ability to collaborate and work in a team.
  • Be able to learn and adapt quickly to new technologies, tools, and techniques.

Nice To Haves

  • Work experience with SQL Server, Teradata, Oracle, or comparable database systems.
  • 1–3 years of work experience in data mining, statistical analysis, auditing, and/or forecasting.
  • Direct experience analyzing relevant subject matter, such as Supply Chain, Merchandising, or Operations.
  • A bachelor's degree in Computer Science, Mathematics, Engineering, Finance, or a related quantitative field.

Responsibilities

  • Execute existing reporting and analytical responsibilities.
  • Use data analytics tools to create dashboards and reports and fulfill ad-hoc requests.
  • Ensure the quality of work through careful attention to detail.
  • Develop technical competencies and subject-matter expertise within the core functional group.
  • Present findings clearly and explain how data analytics fits into the broader business context.
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