Procurement Project Analyst (Contract)

Novelis North America HQ•Atlanta, GA

10d

About The Position

Novelis is seeking a Procurement Project Analyst for a long-term contract assignment anticipated to run from December 2026 through March 2027. The role analyzes supplier and Novelis operational data to identify total cost of ownership opportunities, support cost savings initiatives, and advance Vision 3x30 ROIC objectives. It involves evaluating plant data, conducting technical benchmarking, developing should-cost models for key and critical suppliers, and managing supplier quality KPI reporting to support risk mitigation and continuous improvement in a complex manufacturing procurement environment. 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 analysis, develops and validates technical models, produces dashboards and reports, and recommends data-supported actions. It does not have final authority over supplier selection, commercial commitments, or budget approval, but provides analytical input to procurement, operations, and leadership decisions. The position reports to the Project Manager, Senior Manager for NNA Procurement, and collaborates with procurement, operations, plant teams, leadership, data and analytics partners, suppliers, and external benchmarking sources. The analyst also supports development of RFAs and leadership presentations. The position is based in Novelis’ Atlanta corporate headquarters location; the posting does not specify whether the work is onsite, hybrid, or remote.

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 the need for 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, and Celonis or comparable process-mining technology.

Responsibilities

Identify, collect, and connect data from ERPs, ETQ, the data lake, and other relevant systems to 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 reduction opportunities, and risk mitigation actions; validate opportunities through analysis and stakeholder collaboration.
Identify relevant suppliers for should-cost model development, define model 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 findings 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 to identify supplier risk mitigation opportunities.
Create reports using Excel, Power BI, PowerPoint, and other tools; communicate insights, report findings to collaborators and leadership, prepare executive summaries, and present information clearly.
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.
Produce accurate analyses, reliable cost models, relevant dashboards, and actionable recommendations supporting procurement savings, risk mitigation, supplier quality visibility, and continuous improvement.
Collaborate across functions and engage suppliers and external benchmarking sources as needed to support supplier quality reviews, cost-driver analysis, technical comparisons, and continuous improvement.