The Home Depot is looking to optimize hourly associate staffing and various distribution center operations through advanced data analytics, operations research, and modeling to drive strategic decision-making for senior supply chain leaders, contributing to cost minimization and service maximization.
Requirements
- Advanced SQL (with a preference for Google BigQuery)
- Python programming (with pandas)
- Operations research techniques (e.g., linear and integer programming)
- Advanced proficiency in SQL, with significant experience running complex queries against large datasets, preferably with Google BigQuery
- Strong Python programming skills, including extensive experience with the pandas library for data manipulation, analysis, and automation
- Solid understanding and practical application of operations research and modeling basics, such as linear programming and integer programming
- Expertise in Microsoft Excel, including pivot tables and advanced formulas
Responsibilities
- Collaborate with business stakeholders, data scientists, and business analysts to deliver high quality analytics solutions
- Determine best method to gather, model, manipulate and present data
- Interpret and translate results from complex analysis into understandable and relevant insights
- Perform data analytics for a variety of business problems and opportunities
- Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python
- Evaluate, process, analyze and interpret statistical data
- Cleanse, validate and test data
Other
- Must be eighteen years of age or older
- Must be legally permitted to work in the United States
- Proven experience with data mining and data analysis
- Master's degree in Operations Research, Industrial Engineering, Mathematics, or a related quantitative field
- 2 years of work experience
