Associate Engineer – Data Analytics
Quick Summary
Practical application of data analytics in a global aerospace manufacturing environment. Continuous Improvement methodologies, including Lean principles and process optimization techniques.
Bachelor's degree in Engineering (Mechanical, Industrial, Production, Aerospace, Computer Science, Information Technology, Electronics, or related discipline).
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
What You Will Do
- Collect, validate, standardize, and maintain operational and quality data across business systems.
- Partner with Quality, Engineering, Manufacturing, Supply Chain, and Program teams to deliver data for leadership reviews.
- Develop automated dashboards and KPI reports for leadership and business reviews.
- Drive reporting and process automation using Microsoft Tools.
- Analyze trends across quality, manufacturing, supplier, and operational metrics to provide actionable insights.
- Support Lean, Six Sigma, Kaizen, and process improvement initiatives focused on cost, quality, delivery, and productivity.
What You Will Learn:
- Practical application of data analytics in a global aerospace manufacturing environment.
- Continuous Improvement methodologies, including Lean principles and process optimization techniques.
- Development of business intelligence dashboards using Power BI and Tableau.
- Application of AI tools to improve productivity, data analysis, and business reporting.
- Exposure to engineering, manufacturing, quality, and operations data.
- Cross-functional collaboration and professional communication in a technology-driven organization.
Requirements
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Location & Eligibility
Listing Details
- Posted
- October 5, 2026
- First seen
- October 5, 2026
- Last seen
- October 5, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- October 5, 2026
Signal breakdown
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