Mfg Eng Intern

Bobrick Washroom Equipment, IncJackson, TN

About The Position

Key Responsibilities • Conduct time studies on manufacturing processes to establish labor standards, validate cycle times, and identify improvement opportunities • Collect, extract, and organize data from systems such as ERP and MES (e.g., CSI, ProManage) to support engineering and operational analysis • Perform data mining and trend analysis to identify bottlenecks, inefficiencies, and variation within production processes • Develop, maintain, and standardize reporting tools and dashboards to improve visibility to key performance metrics (efficiency, throughput, downtime) • Support Manufacturing Engineering initiatives focused on process optimization, waste reduction, and throughput improvement • Assist in the development and documentation of standard work, process flows, and best practices • Partner with Production, Quality, and Maintenance teams to validate findings and support implementation of corrective actions • Support ongoing MES data validation and accuracy efforts, ensuring integrity of production reporting • Present findings, insights, and recommendations to Manufacturing Engineering and Operations leadership Qualifications • Currently pursuing a Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or related field • Strong analytical and problem-solving capability with a data-driven mindset • Proficiency in Microsoft Excel (pivot tables, formulas, data analysis); exposure to Power BI or similar tools preferred • Strong attention to detail with the ability to manage and organize large datasets What We Offer • Hands-on training and mentorship. • A structured learning agenda with rotational assignments across functions. • Networking opportunities with senior leaders and cross-departmental teams. • Exposure to automation and process improvement initiatives across the facility • Opportunity to lead or support a defined engineering project with measurable impact • Direct interaction with operations and leadership to understand business decision-making

Requirements

  • Currently pursuing a Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or related field
  • Strong analytical and problem-solving capability with a data-driven mindset
  • Proficiency in Microsoft Excel (pivot tables, formulas, data analysis)
  • Strong attention to detail with the ability to manage and organize large datasets

Nice To Haves

  • exposure to Power BI or similar tools preferred

Responsibilities

  • Conduct time studies on manufacturing processes to establish labor standards, validate cycle times, and identify improvement opportunities
  • Collect, extract, and organize data from systems such as ERP and MES (e.g., CSI, ProManage) to support engineering and operational analysis
  • Perform data mining and trend analysis to identify bottlenecks, inefficiencies, and variation within production processes
  • Develop, maintain, and standardize reporting tools and dashboards to improve visibility to key performance metrics (efficiency, throughput, downtime)
  • Support Manufacturing Engineering initiatives focused on process optimization, waste reduction, and throughput improvement
  • Assist in the development and documentation of standard work, process flows, and best practices
  • Partner with Production, Quality, and Maintenance teams to validate findings and support implementation of corrective actions
  • Support ongoing MES data validation and accuracy efforts, ensuring integrity of production reporting
  • Present findings, insights, and recommendations to Manufacturing Engineering and Operations leadership

Benefits

  • Hands-on training and mentorship.
  • A structured learning agenda with rotational assignments across functions.
  • Networking opportunities with senior leaders and cross-departmental teams.
  • Exposure to automation and process improvement initiatives across the facility
  • Opportunity to lead or support a defined engineering project with measurable impact
  • Direct interaction with operations and leadership to understand business decision-making
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service