Jobs · Management · Texas

Industrial Engineer

Emerson · Austin, TX · 1 wk ago
HybridManagementFull-time

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

Qualifications

  • 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
  • Comfort working in a dynamic environment where priorities, data availability, or problem definitions may evolve over time

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