Senior Analytics Engineer

RTX

. Conduct data analysis with Python to drive informed business decisions .

Posted 10/13/2026full-timeRemote • Connecticut • United StatesSenior💰 $86,800 - $165,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python for data analysis and model development, with a strong background in Data Science and Statistics. Proficient in automating data workflows and deploying machine learning algorithms to drive business intelligence and operational insights.

Highest-signal resume keywords

Python Data AnalysisMachine Learning DeploymentAWS S3 Data ManagementStatistical Methods ApplicationAgile Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsMachine LearningData CleaningData StructuringModel DevelopmentData OntologyGraph DatabasesSoftware Development LifecycleVersion Control (Git)

Soft Skills

Cross-Functional CollaborationRoot Cause AnalysisDecision-Making

Tools & Technologies

AWSAzureApache SparkJiraConfluence

Industry Keywords

Aerospace & DefenseInformation SystemsData ScienceEngineering Discipline

Tech Stack

Tools & technologies

ApacheAWSAzurePythonSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract
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 AWS, Azure, or Apache Spark
Knowledge of Git or similar version control systems
Understanding of the full software development lifecycle
Experience using Agile collaboration and project management tools such as Jira and Confluence

Benefits

Comp & perks

Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
401(k) plan with employer matching funds and separate employer retirement contribution
Lifetime Income Strategy option
Tuition reimbursement program
Student Loan Repayment Program
Life insurance and disability coverage
Optional pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection
Birth, adoption, and parental leave benefits
Adoption Assistance
Autism Benefit
Employee Assistance Plan, including up to 10 free counseling sessions
Healthy You Incentives wellness rewards program
Doctor on Demand virtual doctor visits
Bright Horizons child and elder care services
Teladoc Medical Experts second opinion program
Flexible work schedules
Flexible spending accounts
Employee Scholar Program
Paid time off and holidays
Potential eligibility for annual short-term and/or long-term incentive compensation programs
Remote work primarily from home
Potential travel to the site location as needed