As a Data Governance Analyst, you will drive high standards of data governance, quality, and trust for strategic decision-making. You’ll collaborate with stakeholders across the business to challenge and raise data management practices within the Data Governance team. Your work will include implementing and improving the governance framework, profiling data, and maintaining data catalogs and glossaries. This role offers the chance to shape data culture and enable informed decisions in a health-focused insurance environment. You will communicate influence and build strong relationships to embed governance across the organization.
Pay / Benefits
Bonus schemes
Pension up to 12% with 6% employer match
Vitality health insurance
Life Assurance
Flexible working
Responsibilities
Support the implementation and continuous improvement of the Data Governance Framework to strengthen data quality, integrity and business value
Analyze data processes with Data Owners and Data Stewards to resolve data quality issues at source
Conduct data profiling and implement data quality controls to improve accuracy and reliability
Produce data quality reporting and dashboards to highlight risks and support governance decisions
Coordinate and support data governance forums, including packs, actions, and tracking outcomes
Build relationships with stakeholders to promote good data management practices
Champion data governance standards and assist colleagues in embedding governance requirements
Maintain data catalogues, glossaries and data dictionaries to improve data asset understanding
Support information asset governance through classification, retention and lifecycle management
Contribute to developing a strong data culture and continuous improvement across the organisation
Key requirements
Experience in data governance, data management or data quality environments
Strong data analysis skills to identify trends, issues and root causes
Knowledge of data management tools, ideally Collibra (glossary and classification management)
Experience with insurance or financial services data is advantageous
Ability to interrogate and profile data; SQL skills are highly desirable
Strong stakeholder management skills and the confidence to engage with audiences at all levels
Good understanding of data governance, security, privacy and information lifecycle principles
Proactive mindset with a passion for improving data quality and promoting best practices
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