Manufacturing Data & Process Improvement Technician

Mars; Leipsic (OH); On-site; USD 55,000 - 75,000; Full time

Job summary

Mars is seeking an Industrial Engineering Technician to own downtime and waste data systems, track trends, and provide insights to boost site performance. You will manage scorecards, SIG metrics, and Enablon updates while collaborating with Engineering, Operations and Reliability teams to improve equipment efficiency and reduce costs.

The role requires strong data analytics, problem-solving, and the ability to handle multiple projects with clear communication to stakeholders.

Qualifications

• High School Diploma required.
• 2 years of manufacturing experience.
• Experience overseeing data system development, analysis, reporting, continuous improvement and root cause analysis.
• Strong analytical, organizational, and communication skills with ability to translate data into insights.
• Ability to manage multiple projects and present to stakeholders.

Responsibilities

• Own downtime and waste tracking data systems to analyze trends and recommend corrective actions.
• Maintain site scorecards including Weekly Scorecard, Period Scorecard, OPEX Presentation, and TRS deep dive.
• Manage SIG metrics and Enablon updates.
• Track production rates and optimize capacity through data trends.
• Collaborate with Engineering, Operations and Reliability teams to improve equipment efficiency and reduce costs.
• Lead Focused Improvement Pillar activities and site waste discussions.

Skills

Data analysis

Data storytelling

Project management

Communication

Presentation to stakeholders

Analytical thinking

Process improvement

Education

Bachelor's degree in Industrial Engineering or related field

Lean Six Sigma Green Belt

Tools

SQL

Power BI

MES

WMS

ERP systems

Excel

Job description

Mars is seeking an Industrial Engineering Technician to own downtime and waste data systems, track trends, and provide insights to boost site performance. You will manage scorecards, SIG metrics, and Enablon updates while collaborating with Engineering, Operations and Reliability teams to improve equipment efficiency and reduce costs.

The role requires strong data analytics, problem-solving, and the ability to handle multiple projects with clear communication to stakeholders.