Senior Data Governance Analyst
New
J
JobgetherData Governance
Based in the United StatesFull-TimeSenior
Salary$71,700 to $131,905
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Job Details
- Experience
- Approximately 7–9 years
- Required Skills
- PythonSQLETL
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
- Approximately 7–9 years of experience in data governance, data management, data analysis, or similar roles supporting enterprise system implementations or migrations.
- Strong expertise in data profiling, data mapping, ETL processes, and enterprise data migration.
- Experience collaborating with Data Governance Councils, Data Stewards, or comparable governance organizations.
- Proven ability to gather business requirements and translate them into practical data governance, quality, and management solutions.
- Strong understanding of enterprise data domains, governance frameworks, metadata management, and data quality best practices.
- Proficiency with SQL, Python, relational databases, and data analysis techniques.
- Excellent analytical, documentation, and problem-solving skills with exceptional attention to detail.
- Strong communication and facilitation skills, with the ability to work effectively across business and technical teams.
Responsibilities
- Serve as the primary liaison between business stakeholders, data governance teams, and technical experts to gather, prioritize, and translate data governance requirements.
- Facilitate workshops to define business terminology, data standards, governance policies, business rules, and domain onboarding strategies.
- Analyze source systems, profile enterprise data, and assess data quality to support successful migration and transformation initiatives.
- Develop and maintain detailed source-to-target mapping documentation, transformation rules, and technical specifications.
- Collaborate with master data management, integration, and platform teams to validate mappings and ensure compliance with governance standards.
- Identify data quality issues, support metadata management, and contribute to data lineage documentation and enterprise data catalogs.
- Coordinate data migration activities, monitor progress, resolve dependencies, and communicate risks to project stakeholders.
- Support ETL processes, data validation, cleansing, testing, and post-implementation issue resolution.
- Document data models, business rules, and integration processes while contributing to continuous data governance and quality improvement initiatives.
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