What are the responsibilities and job description for the Data Analyst Supply Chain position at The Home Depot?
Req158321
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
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
- This postion reports to 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.
- Work experience with SQL (preferably with Google BigQuery), Python, and Data Visualization (preferably Tableau)
- 1-3 years work experience in analytics, optimization modeling (preferably using IBM CPLEX), and business intelligence with focus on Logistics, Transportation, Operations Strategy, or Supply Chain Consulting
- Demonstrated experience with data pipelines and automation
- Working knowledge of Microsoft Excel and Power Point
- B.S. in Math, Statistics, Industrial Engineering, Operations Research or related quantitative field
- Masters preferred but not required
- Experience or education in Data Science a plus
- 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
- 0
- 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.