Manufacturing Operations Co-Op - Lean & Data-Driven

Qualitrol

Village of Fairport (NY)

On-site

USD 28,000 - 41,000

Full time

14 days+

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Job summary

Qualitrol, an operating company of Ralliant, is offering a Spring 2027 Operations & Manufacturing Co-Op in Fairport, NY. You will work with manufacturing, engineering, supply chain, and operations teams to optimize systems and processes, gaining hands-on experience in lean principles and data-driven decision making.

During the six-month program, you’ll receive mentorship, contribute to projects that improve efficiency, quality, and on-time delivery, and have opportunities to share your findings

Qualifications

  • Pursuing a Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or a related technical field.
  • Expected graduation date of 2027 or 2028.

Responsibilities

  • Assist with project management efforts across operations and manufacturing.
  • Analyze operational and production data to identify trends and inform decision-making.
  • Partner with engineering, supply chain, and production teams on cross-functional projects.
  • Help address day-to-day manufacturing and operational challenges.
  • Participate in Lean, Continuous Improvement, and Operational Excellence initiatives.

Skills

Analytical thinking
Problem-solving
Data analysis
Cross-functional collaboration
Organizational skills
Attention to detail

Education

Bachelor's or Master's in Mechanical/Electrical/Industrial/Manufacturing Engineering

Tools

Microsoft Excel

Job description

Qualitrol, an operating company of Ralliant, is offering a Spring 2027 Operations & Manufacturing Co-Op in Fairport, NY. You will work with manufacturing, engineering, supply chain, and operations teams to optimize systems and processes, gaining hands-on experience in lean principles and data-driven decision making.

During the six-month program, you’ll receive mentorship, contribute to projects that improve efficiency, quality, and on-time delivery, and have opportunities to share your findings

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