Industrial Engineer

Corning•Village of Fairport, NY

38d•$86,197 - $118,521

About The Position

This role applies Industrial Engineering, Lean, and data analysis to improve product and information flow, increase capacity, reduce complexity, and strengthen visual management. The position combines hands-on manufacturing improvement with data driven reporting and KPI visibility to support operational performance. The successful candidate will help strengthen plant visual management and data-based daily management systems. Working closely with operations, engineering, quality, and supply chain teams, this individual will identify opportunities, analyze performance, implement improvements, and develop reporting that enables action. This is an excellent opportunity for an early-career engineer who wants to build capability in Industrial Engineering, Lean, and operational analytics within a manufacturing environment.

Requirements

Bachelor’s degree in Industrial Engineering or other Engineering / Technical field of study
3+ years of experience in manufacturing, operations, supply chain, process improvement, or related environment
Foundational knowledge of Industrial Engineering and Lean manufacturing concepts, including capacity and workflow analysis, process and waste reduction, flow and pull, standard work, layout, and visual management
Strong analytical and problem-solving skills
Experience using data analysis and visualization tools such as Power BI, Tableau, Excel, JMP, Minitab, or similar; Power BI experience preferred
Ability to communicate clearly and professionally with a variety of stakeholders
Ability to work independently and as part of a cross-functional team

Nice To Haves

Experience with Power BI or similar reporting/dashboard tools
Exposure to manufacturing systems and data sources such as MES, SAP, ERP, SSRS, or similar
Experience with operational KPI reporting, visual management, or scorecards
Experience with Lean, kaizen, or continuous improvement activities
Knowledge of inventory, planning, scheduling, or supply chain processes
Strong analytical, problem-solving, and communication skills
Ability to translate data into actionable operational insights
Ability to work effectively across functions
Initiative, adaptability, and professionalism
Collaborative approach with shop floor and leadership teams
Technical curiosity related to software tools such as Power BI, Python, or similar technologies

Responsibilities

Develop dashboards, scorecards, and visual reporting tools to support operational reviews and decision-making
Use Power BI or similar business intelligence tools to create clear, sustainable reporting and visual management solutions
Lead and/or support projects to improve manufacturing flow, layout, labor productivity, lead time, and capacity
Analyze data to identify trends, losses, constraints, and opportunities for improvement across operations
Support KPI definition, metric standardization, and reporting accuracy across plant processes
Apply Industrial Engineering methods such as capacity analysis, line balance, workflow evaluation, labor analysis, and layout concepts
Support Lean improvement efforts including kaizen events, value stream mapping, flow and pull implementation, workplace organization, and standard work
Communicate project status, analysis, and recommendations clearly through graphic, written, and oral methods
Take ownership for the accuracy and quality of work performed and follow assignments through to completion