MP&L Data Analyst

Modine Manufacturing Company
United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Business Analytics Applications Big Data Information Systems Data Integrity Data Visualization Decision Support Systems Excel Formulas Pivot Tables Power BI SQL Databases Tableau (Software)
+2 more
Data Analytics Data Management

Job description

Remote: Up to 25% Travel

The MP&L Data Analyst is responsible for collecting, analyzing, and interpreting supply chain data to support decision-making across materials planning, production, inventory, and logistics. This role transforms complex data into actionable insights that improve service levels, reduce costs, and enhance operational performance.

The MP&L Data Analyst partners with planning, procurement, manufacturing, and logistics teams to develop standardized reporting, improve data accuracy, and support continuous improvement initiatives. This role plays a critical part in enabling data-driven supply chain execution and long-term planning., Data Analysis & Reporting

  • 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.

Supply Chain Performance Support

  • 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

Systems & Process Improvement

  • 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.

Cross-Functional Collaboration

  • 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.

Requirements

  • 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.

Preferred Qualifications:

  • 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.

Education Requirements:

  • Bachelor’s degree in Supply Chain Management, Business Analytics, Industrial Engineering, Information Systems, or a related field.

Benefits & conditions

Pulled from the full job description Tuition reimbursement Paid parental leave Parental leave 401(k) Health insurance 401(k) matching Vision insurance, o 8 weeks of short term disability leave paid at 100% o 4 weeks of paid parental leave paid at 100%

  • Paternity Leave (4 weeks at 100% pay)

Financial Benefits:

  • 401k Retirement plan and company paid match
  • Life Insurance
  • Health Savings Account (HSA) with employer contribution
  • Flexible Spending Accounts (FSA)
  • Short Term Disability (company paid)
  • Long Term Disability

Work-Life Balance:

  • Competitive time-off policies
  • Tuition Reimbursement

Modine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Modine provides a competitive benefit package, which could include paid vacation, short term disability, 401(k), health, dental, vision, life insurance, flex spending benefits, tuition reimbursement, Health Savings Account and much more. Human Resources will provide more detail upon your hiring.

About the company

For more than 100 years, Modine has solved the toughest thermal management challenges for mission-critical applications. Our purpose of Engineering a Cleaner, Healthier World means we are always evolving our portfolio of technologies to provide the latest heating, cooling, and ventilation solutions. Through the hard work of more than 11,000 employees worldwide, our Climate Solutions and Performance Technologies segments advance our purpose with systems that improve air quality, reduce energy and water consumption, lower harmful emissions, enable cleaner running vehicles, and use environmentally friendly refrigerants. Modine is a global company headquartered in Racine, Wisconsin (U.S.), with operations in North America, South America, Europe, and Asia. For more information about Modine, visit modine.com.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:15 min

Redesigning corporate learning efforts to address fluid demands

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:31 min

Visualizing production planning complexity in physical manufacturing operations

Marin Niehues Marin Niehues · WWC 2024

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · WWC 2023

Videos

See all

Related articles

See all