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About this job
SUMMARY
Develops statistical models to support ongoing replenishment programs. Includes US and Mexico, hub and feeder, DC, supply chain services and various business process re-engineering projects. RESPONSIBILITIES
- Implements replenishment projects for US and Mexico stores and DCs. Includes Hub and Feeder networks and Mexico.
- Monitors existing replenishment systems and intervenes where necessary. Includes monitoring seasonal inventory programs, store replenishment system behavior and Hub and Feeder network results.
- Develops models for transportation and other aspects of supply chain. Includes optimizing the delivery frequency to the stores and determining optimal replenishment source (DC, Hub, CDII, DSD).
- Assists in the budgeting process. Develop and publish certain KPIs for Supply Chain, including inventory, turns, service level, and in-stock reports.
- Provide suggestions for corrective actions when not achieving goals.
- Plans the seasonal inventory requirements.
- Assists in the decision of when to release the additional inventory.
- Works with Replenishment Directors to plan and manage the inventory requirements for promotions.
- Determine the correct stocking levels for Supply Chain Services, USC, and other new initiatives.
- Provide data and analysis to cross-functional teams (Beyond Flat, 4C).
- Assist other departments, particularly merchandising and finance, with inventory issues.
- Provide coaching and guidance for Supply Chain Decision Support Analysts and Supply Chain Analysts.
- Analyze data to help define problems and identify possible solutions for any unusual issues that arise on an ad hoc basis.
- Train DSAs and other Supply Chain personnel to achieve stated objectives.
REQUIREMENTS
- 5+ years experience with Master's Degree or 7+ years experience with Bachelor's Degree Mathematics, statistics, computer science, MIS, engineering.
- Experience with applying statistical modeling to real-world problems and a thorough understanding of the Supply Chain Statistical analysis, financial analysis, programming and data modeling experience.
- Highly Proficient in Excel, SQL, SAS: Excel--Can write VBA macros. SQL--Can write advanced queries using outer joins, unions, and sub-queries. SAS--Understands advanced data steps and macro programming.
- Uses statistical functions, such as regression. Strong written and oral communications skills.
- Strong analytical and problem-solving abilities.
- Ability to identify problems, analyze alternative solutions, and develop implementation plans for the recommended solution.
- Ability to develop as a leader.