Supply Chain & Business Analyst

Tenneco • Northville, MI

1d • Onsite

About The Position

At Tenneco, the company aims to be the most trusted partner and best manufacturer and distributor to the transportation industry, driven by Core Values like radical candor, simplify, organizational velocity, tenacious execution, and win, along with a Get Stuff Done (GSD) mindset. The Supply Chain Data Analyst will be a critical member of the global operating system and continuous improvement (OS&CI) team. This role involves transforming complex supply chain data into actionable insights to drive operational excellence across Tenneco's global manufacturing network. The analyst will support strategic initiatives in demand/supply planning, logistics optimization, inventory management, and continuous improvement programs across EMEA, the Americas, APAC, and India. Reporting to the Executive Director of SCM OS&CI, this position requires partnering with cross-functional stakeholders, including plant operations, regional supply chain directors, executive leadership, and information technology, to deliver data-driven solutions that optimize global supply chain performance.

Requirements

• Bachelor’s degree in supply chain management, Industrial Engineering, Data Analytics, Business Analytics, or related field.
• 2+ years of experience in supply chain analytics, operations analysis, or related data-intensive role, lean manufacturing, and continuous improvement.
• Advanced Excel proficiency (pivot tables, VLOOKUP/XLOOKUP, Power Query, VBA/macros, statistical functions).
• Experience with ERP systems (SAP, PLEX, QAD), planning parameters, master data, including data extraction and reporting.
• SQL skills for database queries and data manipulation.
• Experience with data visualization tools (Power BI, Tableau, or similar platforms).
• Strong understanding of supply chain fundamentals: inventory management, demand/supply planning, logistics, material flow, information flow, and KPI calculations.
• Familiarity with lean manufacturing principles and continuous improvement methodologies.
• Understanding of MRP logic and supply planning processes.
• Exceptional analytical and problem-solving capabilities with attention to detail.
• Ability to translate complex technical analyses into clear business insights for non-technical audiences.
• Strong communication skills with experience (or want to gain experience) in presenting to senior leadership.
• Self-motivated with the ability to manage multiple projects in a fast-paced, global environment.
• Collaborative mindset with ability to build relationships across cultures and geographies.
• Ability to get things done and drive projects.

Nice To Haves

• Experience in manufacturing or the automotive industry is strongly preferred.
• Familiarity with AWS cloud platforms or similar data infrastructure (preferred).
• Understanding of statistical analysis and regression modeling (preferred).
• Experience with advanced planning solutions, like o9, Kinaxis, Blue Yonder, or similar, a plus.
• Knowledge of automotive supply chain complexity and OEM requirements (preferred).
• Experience working with global, multi-site manufacturing networks.
• Demonstrated track record of delivering measurable cost savings or process improvements through analytics.
• Exposure to advanced planning systems (o9 Solutions, Kinaxis, Blue Yonder, etc.).
• Programming skills in Python or R for advanced analytics.
• Six Sigma or similar continuous improvement certification.
• Enjoy complex challenges and aren’t afraid to ask questions.

Responsibilities

• Design and maintain executive dashboards tracking KPIs across 200+ manufacturing plants, including inventory DOH, on-time delivery, material flow efficiency, and logistics spend.
• Put governance frameworks in place for orchestration of Supply Chain Data initiatives across the organization (Data lakes, AI Agents, data integrity, etc).
• Build predictive models supporting demand planning, capacity optimization, and supply network design decisions.
• Partner with IT teams to enhance the Supply Chain Data Platform (AWS-based Bronze/Silver/Gold architecture) and ensure data integrity across global operations.
• Support PFEP (Plan for Every Part) tool and analysis, translating inventory optimization opportunities into actionable plant-level recommendations.
• Develop business cases and ROI models for supply chain technology investments and process improvements.
• Gain exposure to many different facets and functions of the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level