Cloud Data Governance Product Analyst

Fa Etbx Saasfaprod1; Town of Vienna (WI); On-site; USD 110,000 - 160,000; Full time

Job summary

Navy Federal Credit Union is seeking an Enterprise Data Governance Analyst to bridge business needs with technical solutions across cloud data platforms. The role emphasizes data quality, observability, metadata, lineage, and governance, while collaborating with data stewards and business units.

The ideal candidate has 5–8 years of experience in technology product analysis, data engineering, or analytics, and strong Python/SQL skills with cloud experience such as Azure or Databricks.

Qualifications

• Bachelor’s degree in computer science, information systems, data analytics, or equivalent.
• 5–8 years of relevant tech experience in data engineering, analytics, or governance.
• Experience with business stakeholders to translate data needs into technical solutions.
• Strong ability to communicate complex concepts to non-technical audiences.
• Hands-on in enterprise environments with data quality, observability, and governance.

Responsibilities

• Build and maintain data governance solutions across cloud data platforms.
• Develop, test, and support data pipelines, metadata, and lineage tooling.
• Collaborate with data stewards and business units to define data quality rules.
• Prototype, debug, and review code, and participate in deployments and production support.
• Assist with security practices and data access controls.

Skills

Python

SQL

Communications

Stakeholder engagement

Data quality

Observability

Metadata

Data lineage

CI/CD

Cloud platforms

Education

Bachelor’s degree in CS/IS/analytics or related field

Tools

Azure

Databricks

Alation/Collibra/Hive catalogs

Erwin/Hackolade

Job description

Navy Federal Credit Union is seeking an Enterprise Data Governance Analyst to bridge business needs with technical solutions across cloud data platforms. The role emphasizes data quality, observability, metadata, lineage, and governance, while collaborating with data stewards and business units.

The ideal candidate has 5–8 years of experience in technology product analysis, data engineering, or analytics, and strong Python/SQL skills with cloud experience such as Azure or Databricks.