Procurement Project Analyst (Contract)

Novelis•Atlanta, GA

9d•Onsite

About The Position

Novelis is hiring a Procurement Project Analyst on a long-term contract, with an anticipated assignment timeframe of December 2026 through March 2027. The position analyzes supplier and Novelis operational data to identify total cost of ownership opportunities, support cost savings initiatives, and advance Vision 3x30 ROIC objectives. It evaluates plant data, performs technical benchmarking, develops should-cost models for key and critical suppliers, and manages supplier quality KPI reporting to support risk mitigation and continuous improvement in procurement. The analyst gathers and connects information from internal and external sources, including ERP systems, ETQ, data lake sources, supplier inputs, and plant-level operational information. The role independently conducts detailed analyses, builds and validates technical models, develops dashboards and RFAs, and turns technical, operational, and supplier data into practical recommendations. It provides analytical input to procurement, operations, and leadership, but does not make final decisions on supplier selection, commercial commitments, or budget approval. The position reports to the Project Manager, Senior Manager for NNA Procurement, and works with procurement, operations, plant teams, leadership, data and analytics partners, suppliers, and external benchmarking sources. Novelis’ Global Corporate Headquarters and North America regional office are located in Atlanta, Georgia.

Requirements

Bachelor’s degree in industrial engineering, electrical engineering, mechanical engineering, operations, supply chain, or a related field.
At least two years of experience in manufacturing processes or a large-scale manufacturing environment involving metals, scrap, or similar operations.
Strong analytical, problem-solving, communication, and project management skills.
Ability to work independently, manage competing priorities, and present findings effectively.
Experience working with multiple MRP systems.
Proficiency with Excel and data analytics and reporting tools.
Legally authorized to work in the United States without current or future visa sponsorship.

Nice To Haves

Master’s degree in industrial engineering, electrical engineering, mechanical engineering, operations, or supply chain.
SAP and/or Coupa experience.
Experience with Microsoft 365 Copilot, Copilot Studio, Power Automate, Power Apps, Power BI, Azure AI / Azure OpenAI, ChatGPT or comparable enterprise GenAI platforms, Oracle, or Celonis or comparable process-mining technology.

Responsibilities

Identify, collect, and connect data from ERPs, ETQ, the data lake, and other relevant systems; analyze plant performance, supplier inputs, and total cost of ownership opportunities.
Collect external data and conduct technical comparisons and benchmarking across plants to identify efficiencies, cost reductions, and risk mitigation actions; validate opportunities through analysis and stakeholder collaboration.
Identify suppliers for should-cost model development, define each model’s scope and purpose, build models using cost equations, analyze cost drivers, categorize costs, and allocate costs to processes.
Validate should-cost models using real-world data and interpret results to identify potential price, specification, scope, or cost-reduction opportunities.
Support procurement and operations in identifying supplier quality and supply risk mitigation opportunities.
Identify relevant KPIs with operations and procurement; create manual dashboards, implement automated models, and analyze outputs for supplier risk mitigation opportunities.
Prepare reports using Excel, Power BI, PowerPoint, and other tools; communicate insights, prepare executive summaries, present findings, and support continuous improvement and leadership reporting.
Develop knowledge of the Novelis RFA process and template, create relevant RFAs based on data analysis, and support technical evaluation of recommendations through analysis and presentations to leadership.
Collaborate across functions to identify supplier and cost improvement opportunities, validate plant-level data, support supplier quality reviews and cost-driver analysis, and communicate recommendations.
Produce accurate analyses, reliable cost models, relevant dashboards, and actionable recommendations that support procurement savings, risk mitigation, supplier quality visibility, and continuous improvement.