MES Systems Analyst: Digital Manufacturing & Data

Brio Energy

Beulaville (NC)

On-site

USD 70,000 - 100,000

Full time

14 days+
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Job summary

Leggett & Platt Incorporated is seeking an Operations Business Systems Analyst (MES) to support and optimize MES across shop-floor operations. The role bridges manufacturing processes, engineering changes, and operational systems to ensure accurate production data and reliable system performance.

You will work with Production, Engineering, Quality, and IT to maintain data integrity, drive continuous improvement, and implement data-driven solutions.

Qualifications

  • Bachelor’s degree in engineering, information systems, computer science, or related field preferred.
  • Experience supporting MES in a production environment.
  • Experience maintaining work instructions and manufacturing documentation in digital systems.
  • Self-motivated with the ability to work independently and drive solutions with minimal supervision.

Responsibilities

  • Maintain and update digital work instructions within the MES system.
  • Coordinate work instruction changes through required approval processes.
  • Ensure work instructions reflect current production processes and engineering documentation.
  • Conduct weld design reviews and ensure compliance with AWS guidelines.
  • Provide coaching and skill development to welders and welding operators.
  • Deliver technical training for weld techniques, inspection, and process control.

Skills

MES experience
Data visualization
Python scripting
Digital systems

Education

Bachelor’s degree in Engineering/IS/CS

Tools

Power BI
Crystal Reports
Python
Visual Factory

Job description

Leggett & Platt Incorporated is seeking an Operations Business Systems Analyst (MES) to support and optimize MES across shop-floor operations. The role bridges manufacturing processes, engineering changes, and operational systems to ensure accurate production data and reliable system performance.

You will work with Production, Engineering, Quality, and IT to maintain data integrity, drive continuous improvement, and implement data-driven solutions.

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