Data Business Analyst

Data Business Analyst - Data Governance & Metadata Management

Duration: 3 months (+ extension)

Based: Leeds, West Yorkshire (3 days on site)

Rate: £negotiable

We are seeking a Data Business Analyst to support the design, delivery, and continual improvement of enterprise data governance and metadata management capabilities. This role would also suit a Data Manager or Global Data Librarian with strong experience in structuring, cataloguing, and governing data assets across complex organisations.

• Analyse business requirements and translate them into data governance, metadata, and data management solutions.
• Develop and maintain enterprise metadata frameworks, including data definitions, data lineage, data classification, and data catalogues.
• Support the creation and management of data dictionaries, glossaries, and taxonomies to improve data consistency and usability across the organisation.
• Work with stakeholders to identify and manage critical data assets, ensuring they are properly documented, classified, and governed.
• Implement and maintain data governance processes, including data ownership, stewardship, and quality controls.
• Conduct data quality and data risk assessments, identifying issues and supporting remediation plans.
• Collaborate with technical teams to ensure metadata is captured and integrated into tools such as data catalogues and governance platforms.
• Support regulatory and compliance requirements (e.g. GDPR), ensuring data is handled appropriately throughout its lifecycle.
• Facilitate workshops with business and technical teams to improve data understanding, standards, and governance adoption.
• Produce clear reporting and dashboards on data quality, governance maturity, and metadata coverage.

Key Skills & Experience

• Strong experience as a Data Business Analyst, Data Manager, or similar role.
• Proven experience with metadata management, data cataloguing, or data library functions.
• Experience implementing or supporting data governance frameworks (e.g. DAMA-DMBOK, DCAM).
• Understanding of data lineage, data classification, and data quality management.
• Ability to identify and manage critical data elements (CDEs).
• Experience working with data governance tools (e.g. Collibra, Alation, Informatica, Microsoft Purview or similar).
• Strong stakeholder engagement skills, able to translate data concepts into business-friendly language.
• Experience in regulated environments is beneficial.

Desirable

• Background in information management, library science, or records management (for Global Librarian profile).
• Experience defining enterprise-wide data standards and taxonomies.
• Knowledge of data privacy and compliance frameworks.

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