DATA ANALYST SUPPLY CHAIN

Home Depot; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Data Analyst in Supply Chain, where your analytical skills will help transform complex data into actionable insights. This role emphasizes collaboration with experienced analysts to solve real-world business problems, utilizing tools like SQL and statistical analysis. You'll develop your technical competencies while ensuring high-quality work output. If you're eager to learn and apply your skills in a dynamic environment, this position offers a fantastic opportunity to grow and make a significant impact in the supply chain domain.

Qualifications

• Experience with data mining and statistical analysis.
• Strong analytical skills with attention to detail.

Responsibilities

• Execute reporting and analytical responsibilities effectively.
• Leverage data analytics tools to create dashboards and reports.

Skills

SQL

Data Analysis

Statistical Analysis

Critical Thinking

Communication Skills

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Math

Bachelor's Degree in Engineering

Bachelor's Degree in Finance

Tools

SQL Server

Teradata

Oracle

Job description

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.