Sr Data Analyst - Supply Chain - Network Strategy

Home Depot • Atlanta, GA

14d

About The Position

With a career at The Home Depot, you can be yourself and also be part of something bigger. 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. The Network Strategy team provides long-range capability modeling to help advise our leaders on major investments decisions (e.g. real estate, automation, major software initiatives, etc..). One of our major deliverables is the annual 'refresh', which is a large optimization model for each distribution platform.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• 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.
• 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.

Nice To Haves

• 2-4 years work experience in Supply Chain analytics, operations research, 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 Operations Research, Supply Chain, Computer Science, Math, Engineering, Finance, or related quantitative field.
• Work experience with SQL, Big Query, Python, Tableau, MS Excel, SQL Server, or comparable database systems.
• A basic understanding of large optimization models.

Responsibilities

• Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
• Executes existing large optimization models
• Ensures the quality of work output by researching available data on current operations, capacity, and cost
• Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture
• Develops additional technical competencies by working closely with a peer Data Science team

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level