Data Governance Analyst

We are seeking an experienced Data Governance Analyst to support enterprise data governance, data quality, and data management initiatives within a banking environment.

The ideal candidate will have strong experience in data governance practices, hands-on SQL skills, and a solid understanding of data warehousing and data management processes. This role will work closely with business, IT, and compliance teams to improve data accuracy, consistency, transparency, and regulatory compliance.

Required Qualifications

• 5+ years of experience in Data Governance, Data Management, Business Analysis, or a related field.
• Strong knowledge of data governance frameworks, policies, standards, and data stewardship.
• Hands-on experience with data quality analysis, validation, issue identification, and remediation.
• Strong SQL skills for data extraction, analysis, reconciliation, and validation.
• Understanding of data warehousing concepts, including dimensional modeling, ETL/ELT processes, and enterprise data structures.
• Experience with metadata management, data catalogs, business glossaries, and data lineage.
• Knowledge of data privacy, security, and regulatory compliance requirements.
• Strong analytical, documentation, problem-solving, and communication skills.
• Ability to collaborate effectively with business and technical stakeholders.

Preferred Qualifications

• Banking or financial services experience is strongly preferred.
• Experience with enterprise data governance or data quality tools.
• Familiarity with Power BI, Tableau, or similar reporting tools.
• Data management certifications such as DAMA or CDMP.
• Experience supporting regulatory, risk management, or enterprise data initiatives.
• Project management experience.

Key Responsibilities

• Support the development, implementation, and maintenance of data governance policies, standards, and processes.
• Monitor data quality, investigate issues, identify root causes, and coordinate corrective actions.
• Partner with data owners and stewards to maintain data definitions, business glossaries, and metadata.
• Support data lineage, classification, and cataloging activities.
• Use SQL to analyze, validate, and reconcile data across systems.
• Collaborate with IT, business, and compliance teams to resolve data governance issues and support audits.
• Document critical data processes, data flows, and business requirements.
• Track and report on data quality metrics, governance initiatives, and remediation progress.
• Support data privacy, security, and regulatory compliance efforts.