Sr. Data Analyst - Supply Chain

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

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.

• 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

• This position reports to Manager or Sr Manager

• This position has no Direct Reports

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

• 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.

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

• Must be eighteen years of age or older.

• Must be legally permitted to work in the United States.

• 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.

• 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.

• No additional education

• 2

• No additional years of experience

• None

• None

• None

• 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.