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Sr. Data Analyst, Supply Chain Data Quality

Job in Atlanta, Fulton County, Georgia, 30301, USA
Listing for: Home Depot
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Data Science Manager
Job Description & How to Apply Below
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.
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