✦ Luna Orbit — Engineering (Non-Software)

Industrial Engineer - Amarillo, TX

at Textron

📍 US-Texas-Amarillo Unknown Posted March 26, 2026
Type Not Specified
Experience entry
Exp. Years 0-1 years
Education Bachelor’s degree or higher in Industrial Engineering or equivalent
Category Engineering (Non-Software)

This role involves supporting manufacturing operations through data analysis, process improvement, and factory layout optimization to enhance productivity and reduce costs.

  • Support manufacturing analysis
  • Develop capacity plans
  • Optimize factory layouts
  • Use Power BI and Kinaxis
  • Participate in process improvement projects

Utilizes Power BI and Kinaxis for data analytics, with a focus on cycle time reduction, capacity planning, and process improvement in manufacturing environments.

The ideal candidate is an entry-level industrial engineer with a background in manufacturing processes, data analytics, and process improvement. Strong analytical and problem-solving skills are essential, with proficiency in Power BI and data analysis tools.

Bachelor’s degree in Industrial Engineering or equivalentAnalytical skillsProblem-solvingProficiency in Microsoft OfficeSQLPower BI
Power BIKinaxisData AnalyticsWork SamplingFactory Layouts
Power BIKinaxis
Industrial EngineeringManufacturingLEANPower BIKinaxisData AnalyticsFactory LayoutsCycle TimeCapacity AnalysisWork Sampling
Industrial EngineeringManufacturingLEANPower BIKinaxisData AnalyticsFactory LayoutsCycle TimeCapacity AnalysisWork Sampling
Analytical SkillsProblem-solvingCommunicationTeamworkProcess Improvement
Industry Aerospace / Aviation / Manufacturing
Job Function Analyze manufacturing data and support process improvements.
Role Subtype Industrial Engineer
Tech Domains Power BI, Kinaxis, Data Analytics
industrial engineermanufacturingLEANPower BIKinaxisdata analyticsfactory layoutscycle timecapacity analysiswork samplingprocess improvementproblem-solvingfactory efficiencyproduction analysismanufacturing strategies

No industrial engineering degree, Lack of experience with Power BI or data analytics, No understanding of manufacturing processes

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