Senior Data Analyst - Hybrid Data Governance & Cloud Ops

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

Benefits offered by this job

Medical, dental, and vision insurance

Generous vacation and 401(k) plan

Job summary

Collins is seeking a data services professional for a hybrid role in Charlotte, US. You will manage data intake, governance, and secure data engineering across cloud and on-prem environments. Expect collaboration with finance, engineering, and operations to translate requirements into reliable data solutions.

The role emphasizes data integrity, lineage, auditability, and adherence to security controls while enabling scalable data workflows with modern tooling.

Qualifications

• Experience with data service pipelines handling structured and unstructured data.
• Ability to segment, classify, or secure data sets per business/legal requirements.
• Experience optimizing processes in a large organization.

Responsibilities

• Own work intake for a large data services organization.
• Collaborate across finance, engineering, operations and data skillsets to maximize value.
• Support data access controls, classification rules, and data protection.
• Serve as focal point for centralized cyber and compliance processes.
• Translate prioritization into execution with cross-functional stakeholders.
• Develop reusable patterns and governance-aligned data frameworks.
• Support production data systems with data integrity, lineage, and auditability.

Skills

Data pipelines

Data governance

Cloud platforms

ETL/ELT

Python

SQL

Spark/PySpark

Databricks

Jira

Confluence

Planview

ServiceNow

SharePoint

Education

University Degree

Advanced Degree

Tools

Jira

Confluence

Planview

ServiceNow

SharePoint

Job description

Collins is seeking a data services professional for a hybrid role in Charlotte, US. You will manage data intake, governance, and secure data engineering across cloud and on-prem environments. Expect collaboration with finance, engineering, and operations to translate requirements into reliable data solutions.

The role emphasizes data integrity, lineage, auditability, and adherence to security controls while enabling scalable data workflows with modern tooling.