Data Analyst - Supply Chain

Home Depot•Atlanta, GA

About The Position

The Data Analyst - Supply Chain uses technical abilities to synthesize complex analytical work into understandable, data-driven stories. The role collaborates with other analysts to apply established analytical processes to diverse datasets, derive insights, and solve business problems. The analyst completes reporting and analytical responsibilities accurately and on time while developing existing technical skills, such as SQL, coding, statistics, and machine learning, and learning new skills. The position 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.
  • Bachelor's degree or equivalent in a job-related field of study, or knowledge, skills, and abilities typically acquired through completing a bachelor's degree program.
  • Critical thinking skills to identify strengths and weaknesses of alternative solutions and understand the implications of new information for current and future problem-solving.
  • Intellectual curiosity about the underlying story in data.
  • Strong written and verbal communication skills, including the ability to persuade, inform, and influence others based on findings.
  • Ability to communicate complex results in an easily understood way.
  • Strong interpersonal skills and ability to collaborate and work in a team environment.
  • Ability to quickly learn and adapt 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.
  • Bachelor of Science in Computer Science, Math, Engineering, Finance, or a related quantitative field.

Responsibilities

  • Execute existing reporting and analytical responsibilities.
  • Use data analytics tools to create dashboards, reports, and respond to ad-hoc requests.
  • Ensure work output is high quality through close attention to detail.
  • Develop technical competencies and subject matter expertise within the core functional group.
  • Present findings in an easily understood way and explain how the analytics fit into the bigger picture.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service