Supply Chain Analytics Manager

Job Summary:

The Supply Chain Analytics Manager will be the analytical backbone of the Supply Chain team. This role will collaborate with cross-functional partners to identify cost-saving opportunities, drive forecasting processes, make inventory management improvements, and streamline our logistics network. You will also be responsible for designing and implementing a robust Sales & Operations Planning (S&OP) process in collaboration with Finance, Marketing, and Manufacturing. To succeed in this role, you will need to be a process-oriented individual who is strategic by nature, who also excels in building cross-functional relationships and using data to drive decision-making.

What You’ll Do:

• Identify opportunities in the inventory and capacity planning process to drive cost savings and hit KPI targets
• Support forecast development by serving as the supply chain conduit with upstream and downstream partners
• Design, implement, and maintain an end-to-end Sales & Operations Planning (S&OP) process
• Develop KPIs that quantitatively align with organizational and financial goals
• Use data to uncover inefficiencies, perform root cause analysis, and recommend operational improvements
• Lead financial planning, budgeting, and forecasting for the supply chain team
• Perform ad hoc analyses to support high-priority supply chain and cross-functional initiatives

What You’ll Need to Have:

Required:

• 3+ years of professional experience working in consulting, supply chain, or operations
• Proven track record of people leadership and development
• Exceptional verbal and written communication skills
• Exceptional analytical problem solving and analytical modeling
• Proficiency with the Microsoft / Google Suites
• Knowledge of capital and financial planning methodologies
• Comfort managing multiple projects concurrently and managing multiple deadlines

Preferred:

• 3+ years of professional experience working in supply chain, planning, or operations
• Familiarity with operations and supply chain systems (ERP, MRP, WMS, TMS, etc.)
• Experience with network strategy or inventory management tools
• Experience with Tableau, Looker, or similar data visualization tools
• Experience with back-end programming languages (SQL, Python, etc.)