Senior Analytics Engineer

RTX is a leading aerospace company seeking a Senior Analytics Engineer to join their Product Lifecycle Analytics team. The role involves leveraging engineering expertise and statistical analysis to integrate data and transform it into actionable insights that influence product performance and business intelligence strategies.

Responsibilities:

• Develop a strong understanding of core electrical and mechanical system principles
• 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

Requirements:

• 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
• Proficiency in 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