Specialist - Spend Analytics

Overview

Transform procurement spend data into actionable cost intelligence to drive insights and strategic decision-making on procurement and cost optimization, supporting Global and Regional supply chain teams. The role combines spend analytics with should-cost expertise, using tools such as aPriori to build fact-based cost models for supplier pricing challenge and negotiation.

What you'll do

• 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 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, audit-ready spend analysis that supports strategic sourcing decisions at global and regional levels.
• Build and validate detailed should-cost models for Build to Print categories including plastics, sheet metal, pressure die cast (PDC) components, and 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, design-to-cost analysis, and supplier negotiations.
• Partner with engineering and commodity teams to apply should-cost outputs to RFQ benchmarking and fact-based negotiation preparation.
• 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.
• Identify alternative suppliers, emerging markets, and innovative manufacturing processes to enhance competitiveness.
• Prepare structured negotiation packs for category managers, including should-cost breakdowns, market benchmarks, supplier scorecards, and price-volume analyses.
• Conduct supplier cost walk-throughs and price justification reviews to equip sourcing teams with robust challenge frameworks.
• Model negotiation scenarios and sensitivity analyses, including the impact of raw material price movements on target pricing.
• Track negotiation outcomes and feed results back into cost models and spend databases to improve future analytical cycles.
• Drive or support the execution of initiatives generated from spend analytics, converting insights into measurable savings, and ensure consistent tracking and reporting of value capture against the savings pipeline.
• Collaborate with supply chain, engineering, operations, and quality stakeholders to translate spend analysis requirements into actionable insights.
• Present findings, opportunity assessments, and recommendations clearly to senior leadership.
• Facilitate cross-functional workshops to align on category strategies, savings priorities, and data quality improvement plans.
• Drive process improvements in sourcing, RFQ management, cost analysis, and spend reporting cycles.
• Ensure compliance with procurement policies, contracts, and ethical sourcing standards.
• Support digitalization and analytics initiatives, including deployment of BI platforms and AI-driven spend intelligence tools.

What you'll need

• 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.
• Hands-on experience with aPriori or similar should-cost software is mandatory.
• Experience with BI and data visualization tools (Power BI, Tableau, or equivalent).
• 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.

Nice to have

• Working knowledge of AI and machine learning techniques for spend analytics, anomaly detection, and pattern recognition.
• Familiarity with AI/ML techniques applied to procurement analytics.

Details

• Location: Gurgaon (Capital Cyberscape, 2nd Floor, Ullahwas, Sector 59, Gurugram, Haryana 122102).
• Employment type: Full Time.