Senior Procurement Operations Analyst

Procurement Analytics & Decision Support Develop and maintain analytical models to support sourcing strategies, make‑vs‑buy evaluations, and capacity decisions. Build scenarios comparing cost, service, risk, and productivity tradeoffs across external manufacturing options. Provide rapid, decision‑ready analysis to support live sourcing events, negotiations, and urgent business needs. Prepare fact‑based recommendations and executive‑ready materials to support sourcing and leadership decisions. Support conversion cost modeling, total cost of ownership analyses, and margin impact assessments. Support AOP, forecast, and variance analysis related to external manufacturing spend and performance. Design, maintain, and automate supplier performance dashboards covering service, cost, quality, and risk metrics. Support Quarterly Business Reviews (QBRs) through data preparation, insights generation, and action tracking. Ensure data accuracy, consistency, and transparency across procurement and supply chain systems. Support contract lifecycle management through data analysis, benchmarking, and compliance tracking. Assist in supplier due diligence by analyzing financial health, capacity, operational resilience, and risk indicators. Act as a thought partner to Sourcing Managers by proactively identifying insights, risks, and improvement opportunities. Collaborate with Planning, Supply Chain, Quality, Finance, and Commercial teams to align assumptions and data inputs. Identify opportunities to simplify, standardize, and automate procurement analytics and reporting Bachelor's degree in Supply Chain, Engineering, Finance, Business, Analytics, or a related field 4-7 years of experience in procurement, supply chain, finance, operations, or analytics roles (CPG/manufacturing preferred) Strong analytical and financial modeling skills with the ability to distill insights for senior stakeholders Experience supporting or working with manufacturing, external suppliers, or complex networks strongly preferred Advanced proficiency in Excel; experience with SAP, Power BI, or similar analytics tools preferred Strong communication skills with the ability to translate data into business implications Ability to operate effectively in a fast‑paced, matrixed organization