Analytics Engineer II (Remote)
Date Posted:2026-08-28 Country:United States of America Location:US-CT-REMOTE Position Role Type:Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not RequiredCollins 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 an Analytics Engineer II 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 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.What You Will DoConduct data analysis with Python to drive informed business decisionsApply statistical methods to assess data completeness, accuracy, and reliabilitySupport engineering teams with root cause analysis investigationsPromote the adoption of semantic models and ontologies across the organizationDesign and build executable Python-based analytical modelsAutomate data processing, analysis, and formatting workflowsClean, structure, and analyze datasets using PythonDeploy machine learning algorithms on both numerical and categorical data setsQualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless prohibited by local laws/regulations and minimum 2 years of prior relevant experience or an Advanced Degree in a related fieldU.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract Python Experience for data analysis and model developmentQualifications We PreferBackground in Data Science, Statistics, or an Engineering disciplineExperience within the Aerospace & Defense industry or Information Systems environmentsFamiliarity with graph databases, semantic layers, and data ontology frameworksHands-on experience with cloud and distributed technologies such as AWS, Azure, or Apache SparkKnowledge of Git or similar version control systems, following software development best practicesUnderstanding of the fu...