Aerospace Process Manufacturing Intern - Data Analysis

Collins Aerospace; Santa Fe Springs (CA); On-site; USD 42,000 - 88,000; Full time

Benefits offered by this job

Relocation eligibility

Job summary

RTX in Santa Fe Springs, CA is seeking a Machine Shop/Process Engineering Intern to support carbon/carbon composite aircraft brake manufacturing processes. You will mine data, analyze root causes, and prepare technical reports for leadership, while collaborating with multiple functions to ensure quality and cost targets are met.

You will learn manufacturing processes for carbon/carbon composites, aviation specifications, and advanced troubleshooting through data analysis in a hands-on

Qualifications

• You are pursuing a Bachelor's or advanced degree in Mechanical or Aerospace Engineering or related STEM field.
• Experience with Microsoft Office Suite (Excel, PowerPoint, Word).
• Experience delivering presentations using data visualization tools.

Responsibilities

• Data mining and analysis in support of root cause investigations.
• Write detailed technical reports and deliver presentations.
• Observe and troubleshoot process issues and resolve in real time.
• Support continuous improvement initiatives aimed at cost reduction or process improvement.
• Collaborate with and support other business functions as needed.

Skills

Data analysis

Presentation delivery

Data visualization

Root cause analysis

Education

Bachelor’s or advanced degree in Mechanical Engineering, Aerospace Engineering, or related STEM major

Tools

Microsoft Office

Excel

PowerPoint

Word

SQL

Minitab

Job description

RTX in Santa Fe Springs, CA is seeking a Machine Shop/Process Engineering Intern to support carbon/carbon composite aircraft brake manufacturing processes. You will mine data, analyze root causes, and prepare technical reports for leadership, while collaborating with multiple functions to ensure quality and cost targets are met.

You will learn manufacturing processes for carbon/carbon composites, aviation specifications, and advanced troubleshooting through data analysis in a hands-on