Senior Data Analyst — Secure Data & Cloud Governance

RTX; Windsor Locks (CT); Hybrid; USD 108,000 - 205,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Three weeks of vacation

401(k) plan with matches

Job summary

RTX Collins Aerospace is seeking a data-focused professional to manage large data services, ensuring secure, compliant data engineering across hybrid environments. You will collaborate with finance, engineering, and operations to translate complex requirements into reliable data solutions.

Responsibilities include governing data access, implementing governance patterns, and optimizing workflows with attention to data integrity and auditability.

Qualifications

• University degree and 8+ years of relevant experience, or an advanced degree with 5+ years.
• U.S. citizenship is required.
• Experience in data service pipelines handling structured and unstructured data.
• Ability to segment, classify, or secure data to meet business/compliance needs.
• Experience with cloud platforms and ETL/ELT processes.

Responsibilities

• Own work intake for a large data services organization across multiple functions.
• Support strict data access controls and data protection across environments.
• Serve as focal point for centralized cyber and compliance processes.
• Optimize data services engagement while ensuring compliance and availability.
• Translate prioritization into actionable execution with stakeholders.
• Collaborate to translate complex requirements into secure data engineering solutions.
• Improve data workflows for performance, observability, and resiliency in cloud/hybrid setups.
• Develop reusable patterns and governance-aligned data frameworks.
• Support production data systems with data integrity, lineage, and auditability.

Skills

Data pipelines

Data security

Cloud platforms

ETL/ELT

Agile collaboration

Data governance

Education

University degree

Advanced degree

Tools

Jira

Confluence

Planview

ServiceNow

Job description

RTX Collins Aerospace is seeking a data-focused professional to manage large data services, ensuring secure, compliant data engineering across hybrid environments. You will collaborate with finance, engineering, and operations to translate complex requirements into reliable data solutions.

Responsibilities include governing data access, implementing governance patterns, and optimizing workflows with attention to data integrity and auditability.