Senior Analytics Engineer (Remote)

2026-10-12

United States of America

US-CT-REMOTE

Remote

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience
• Background in Data Science, Statistics, or an Engineering discipline

• Experience with Python for data analysis and model development
• Experience within the Aerospace & Defense industry or Information Systems environments
• Familiarity with graph databases, semantic layers, and data ontology frameworks
• Hands-on experience with cloud and distributed technologies such as AWS, Azure, or Apache Spark
• Knowledge of Git or similar version control systems, following software development best practices
• Understanding of the full software development lifecycle, from concept through deployment
• Experience using Agile collaboration and project management tools such as Jira and Confluence

None/Not Required

Not Required

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.

We are seeking a Senior Analytics Engineer to join our Integrated Product Analytics team. In this role you will leverage your data and engineering expertise, and strong statistical foundation to help develop and mature an end-to-end digital thread across a portfolio of Collins Aerospace products.

As a senior member of the team, you will play a critical role in integrating data across historically siloed business units, transforming complex engineering and operational data into actionable insights. Your work will directly influence product performance, service optimization, and enterprise business intelligence strategies.

This position requires a strategic thinker who can bridge engineering knowledge with advanced analytics, drive cross-functional collaboration, and lead initiatives that elevate data-driven decision-making across the organization.

 

• →Conduct data analysis with Python to drive informed business decisions
• →Apply statistical methods to assess data completeness, accuracy, and reliability
• →Support engineering teams with root cause analysis investigations
• →Promote the adoption of semantic models and ontologies across the organization
• →Design and build executable Python-based analytical models
• →Automate data processing, analysis, and formatting workflows
• →Clean, structure, and analyze datasets using Python
• →Organize data and implement standardized labeling practices in AWS S3
• →Deploy machine learning algorithms on both numerical and categorical data sets
   

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