MP&L Data Analyst

United States

Full-time

Remote

Entry, Mid Level

Modine Manufacturing Company has been addressing thermal management challenges for over a century, focusing on creating a cleaner and healthier world. The MP&L Data Analyst is responsible for analyzing supply chain data to support decision-making across various teams, transforming data into actionable insights to enhance operational performance.

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Responsibilities

Develop, maintain, and automate dashboards and reports related to inventory, production output, capacity, supplier performance, and logistics
Train team members on the dashboards and reports on how to use them more effectively
Analyze large data sets to identify trends, risks, and improvement opportunities across the supply chain
Support KPI development and performance tracking for MP&L and operations teams
Ensure data accuracy, consistency, and alignment across systems and reports
Analyze inventory health, including turns, excess and obsolete (E&O), and service-level performance
Support materials planning and master scheduling teams with data insights and scenario analysis
Evaluate supplier forecast accuracy and planning effectiveness
Assist in team problem solving initiatives
Support process reporting enhancements, upgrades, and new analytics tools as required
Identify opportunities to streamline reporting, improve data visibility, and reduce manual effort
Support ERP/MRP data integrity, including planning parameters, master data, and transactional accuracy
Participate in continuous improvement initiatives related to supply chain analytics and decision support
Partner with supply chain, manufacturing, finance, and IT teams to align data and reporting needs
Communicate analytical findings clearly to both technical and non-technical stakeholders

Qualification

Required

2–5 years of experience in supply chain analytics, data analysis, or a related role within a manufacturing or operations environment
Strong analytical skills with the ability to interpret complex data and translate it into actionable insights
Proficiency in Microsoft Excel (advanced formulas, pivot tables) and data visualization tools (e.g., Power BI, Tableau)
Working knowledge of ERP/MRP systems and supply chain processes
Strong attention to detail and data accuracy
Effective communication and collaboration skills
Bachelor's degree in Supply Chain Management, Business Analytics, Industrial Engineering, Information Systems, or a related field

Preferred

Experience supporting materials planning, production planning, or logistics functions or a desire to learn these functions
Knowledge of supply chain KPIs, forecasting concepts, and inventory management principles
Experience with SQL, data modeling, or advanced analytics tools
Lean, Six Sigma, or continuous improvement experience a plus