Spend Analytics Specialist

Responsibilities Conduct in-depth analysis of spend data to identify trends, patterns, and anomalies across categories and suppliers. Utilize statistical techniques and data visualization tools to transform complex datasets into clear, meaningful insights for stakeholders. Leverage tools such as Python, R, VBA, and advanced Excel to build scalable analytical workflows and automate repetitive data processing tasks. Apply machine learning techniques to enhance spend classification, outlier detection, and predictive analytics capabilities. Increase automation across key steps of the spend analysis lifecycle to improve speed, accuracy, and consistency of outputs. Deliver robust, auditready spend analysis that supports strategic sourcing decisions at both global and regional levels. Build and validate detailed shouldcost models for Build to Print categories including plastics, Sheet Metal, pressure die cast (PDC) components, machining, leveraging knowledge of raw materials, manufacturing processes, and cost drivers. Maintain and continuously refine cost models using aPriori or equivalent tools to reflect current market dynamics and input cost movements. Drive cost reduction initiatives through value engineering, designtocost analysis, and supplier negotiations. Monitor global market trends, raw material indices, supplier landscapes, and technological developments in the HVAC and related industries. Leverage market intelligence to inform sourcing strategies, risk mitigation plans, and cost management decisions. Prepare structured negotiation packs for category managers, including shouldcost breakdowns, market benchmarks, supplier scorecards, and pricevolume analyses. Drive or support the execution of initiatives generated from spend analytics, converting insights into real, measurable savings. Requirements Bachelor's or Master's degree from an accredited institution in Engineering, Supply Chain, Business, Data Science, or a related discipline. 8+ years of experience in spend analytics, strategic sourcing, or cost engineering within a manufacturing or industrial procurement environment. Strong understanding of part cost structures, manufacturing processes, and tooling across key direct spend categories. Handson experience with aPriori or similar shouldcost software is mandatory. Experience with BI and data visualization tools (Power BI, Tableau, or equivalent). Familiarity with AI/ML techniques applied to procurement analytics is a strong plus. Proficiency in Microsoft Office (Excel, Word, PowerPoint) for analytics and presentations is mandatory. Excellent verbal and written communication skills, along with strong interpersonal abilities for stakeholder management. High learning agility, accountability, and effective collaboration skills. Ability to work effectively in a global environment with stakeholders located in different regions. Strong attention to detail with sharp observational skills to identify issues accurately and articulate findings effectively. .