Data Analyst - Supply Chain
At a glance
Mid-level Data Analysis & BI role at Homedepot. STORE SUPPORT CENTER · full-time · no salary stated · we estimate $86,000–$135,000 across the United States.
Homedepot has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Handle recurring analysis and reporting, then build dashboards and reports or respond to one-off data requests
- Check your output carefully so reports and analysis are accurate and dependable
- Build technical skills and knowledge of your team’s subject area as the work evolves
- Explain findings clearly and show how the data connects to the broader problem
What you bring
- You must be at least eighteen and legally able to work in the United States
- A bachelor’s degree or equivalent in a field related to the job is required
- You can turn complicated data results into clear explanations and work closely with other analysts
Who this fits
This mid-level role suits someone who can explain analytical findings and collaborate with analysts while developing under manager and data-scientist guidance. You will have no direct reports, and overnight travel is typically under ten percent. The role is based at the Store Support Center in the United States.
From the employer
With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively with other analysts to apply established 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 seeking out opportunities to hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and learn new skills. Operates under the supervision and mentorship of more experienced managers and data scientists.
Key Responsibilities:
- 30% Executes existing reporting and analytical responsibilities
- 20% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
- 20% Ensures the quality of work output by displaying a keen attention to detail
- 20% Develops additional technical competencies and subject matter expertise within core functional group
- 10% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture
Direct Manager/Direct Reports:
- This postion reports to 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:
- Work experience with SQL Server, Teradata, Oracle, or comparable database systems
- 1-3 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
- 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
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:
- 0
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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