Senior Data Analyst - Secure Data & Compliance (Hybrid)

Collins Aerospace; Charlotte (NC); Hybrid; USD 108,000 - 205,000; Full time

Benefits offered by this job

Health insurance

Vacation 3 weeks

401(k) plan with employer matching

Tuition reimbursement

Student loan repayment

Life insurance

Disability coverage

Pet insurance

Job summary

Collins Aerospace is hiring a Sr. Data Analyst in Charlotte, NC for a hybrid role. You will streamline data intake, centralize cyber and compliance processes, and translate business and regulatory requirements into dependable, secure data engineering solutions.

You will work with cross-functional teams to build reusable data frameworks, ensure data integrity, and improve performance and observability across cloud and hybrid platforms.

Qualifications

• University degree or advanced degree with related experience.
• Experience in data services pipelines for structured and unstructured sources.
• Knowledge of data security, governance, and compliance requirements.

Responsibilities

• Own work intake processes across finance, engineering, operations and data skillsets.
• Apply data access controls and classification for secure data separation.
• Coordinate centralized cyber and compliance workflows for data services.
• Translate priorities into actionable, secure data plans across teams.
• Collaborate with stakeholders to convert requirements into reliable data solutions.
• Improve data workflows for performance, observability, and resiliency.

Skills

Data pipelines

Security/compliance

Agile teams

Cloud platforms

ETL/ELT

Data modeling

Education

University Degree

Advanced Degree

Tools

Jira

Confluence

Planview

ServiceNow

AWS

Azure

GCP

Python

SQL

Spark

Databricks

EMR

Glue

Terraform

CloudFormation

GitHub Actions

Jenkins

OCR

Job description

Collins Aerospace is hiring a Sr. Data Analyst in Charlotte, NC for a hybrid role. You will streamline data intake, centralize cyber and compliance processes, and translate business and regulatory requirements into dependable, secure data engineering solutions.

You will work with cross-functional teams to build reusable data frameworks, ensure data integrity, and improve performance and observability across cloud and hybrid platforms.