Industrial Engineer

Emerson•Austin, TX

About The Position

We are seeking a Supply Chain Industrial Engineer to help improve how supply chain decisions are made across procurement, planning, manufacturing, and fulfillment. In this role, you will apply industrial engineering, data analysis, and systems thinking to support analytical models, reporting, and process understanding that drive more consistent, data-informed decisions. You will partner with supply chain, procurement, manufacturing, and IT/data teams to analyze complex processes, improve visibility into performance, and help identify opportunities for operational improvement. This role offers the opportunity to work on meaningful business problems while building strong capabilities in supply chain analytics and industrial engineering. Because not every problem will be fully defined at the outset, success in this role requires curiosity, initiative, and comfort working through ambiguity. You will help shape problem statements, explore data, and turn analysis into practical recommendations that support continuous improvement across supply chain operations.

Requirements

Bachelor’s degree in industrial engineering, engineering, business analytics, or a related field
Up to 5 years of relevant experience in industrial engineering, supply chain, operations, analytics, or a related field
Foundational experience in data analysis, statistics, or process improvement through coursework, internships, or professional work
Strong analytical and problem-solving skills, with the ability to work independently and navigate ambiguity
Interest in supply chain operations, data modeling, and process improvement
Strong communication skills and attention to detail
Comfort working in a dynamic environment where priorities, data availability, or problem definitions may evolve

Nice To Haves

Coursework, internship, or early-career experience in industrial engineering, operations research, or supply chain analytics
Familiarity with supply chain concepts such as items, bills of materials, routings, suppliers, locations, and lead times
Experience with tools such as Excel, SQL, Python, or data visualization platforms like Power BI
Exposure to modeling, simulation, or statistical analysis techniques
Experience working with ERP systems or large datasets through internships, academic projects, or professional roles
Interest in data quality, governance, and process standardization
Curiosity about using AI tools responsibly to improve productivity, accelerate analysis, and enhance work quality

Responsibilities

Develop and support analytical models and reporting that improve visibility into supply chain performance and complexity
Work across ambiguous or evolving problem areas to help define issues, structure analysis, and inform next steps
Analyze how master data and operational processes—including items, suppliers, bills of materials, routings, lead times, and locations—affect planning and execution outcomes
Identify drivers of variability, instability, and process defects across procurement, planning, and fulfillment activities
Take initiative in using data exploration and process understanding to clarify problems and uncover improvement opportunities
Build and maintain dashboards, datasets, or reporting used to monitor supply chain performance and data quality
Document process flows and data dependencies across upstream and downstream supply chain activities
Apply industrial engineering methods, process analysis, and statistical thinking to support operational improvement initiatives
Validate assumptions, parameters, and data inputs used in supply chain planning and analysis
Communicate findings and recommendations clearly to both technical and non-technical stakeholders
Support implementation of recommendations in partnership with more experienced team members and cross-functional stakeholders