Analytics Engineer

• 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 adoption of semantic models and ontologies
• 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 numerical and categorical datasets
• Integrate data across historically siloed business units
• Transform complex engineering and operational data into actionable insights
• Influence product performance, service optimization, and enterprise business intelligence strategies
• Drive cross-functional collaboration and lead data-driven decision-making initiatives

Explore Senior Analytics Engineer at RTX. Review requirements and application details.