About the Role
We are looking for an experienced Business Analyst with a strong background in Data Governance and Microsoft Purview to join a growing AI and Data team.
This is an exciting opportunity to work with business stakeholders, data owners, data stewards and technical teams to define, document and improve data governance processes while supporting the successful adoption of Microsoft Purview across the organisation.
The role is ideal for someone who enjoys bridging the gap between business and technology, translating complex business requirements into practical solutions, and helping organisations improve data quality, ownership, compliance and trust in their data assets.
Location: Hybrid (2 days per week onsite on London/Woking/Fareham or Munich, depending on location)
Salary: £64,000 per annum
Key Responsibilities
- Gather, analyse and document business requirements for data governance initiatives.
- Facilitate workshops, stakeholder interviews and requirement-gathering sessions.
- Document current and future-state business processes, data flows and governance controls.
- Define and support data ownership, stewardship and metadata management processes.
- Support the implementation and business adoption of Microsoft Purview capabilities, including Data Catalogue, Business Glossary, Data Lineage, Collections, Classifications, and Data Quality
- Produce functional specifications, user stories, acceptance criteria and prioritised backlogs.
- Create and maintain business documentation, including process maps, data dictionaries, governance documentation, RAID logs and decision records.
- Analyse data using SQL and profiling techniques to identify quality issues and support evidence-based recommendations.
- Work closely with data engineering, analytics, architecture, security and compliance teams to embed governance requirements into solutions.
- Support data quality measurement, root cause analysis and remediation planning.
- Help develop business glossaries, metadata standards, governance policies and operating procedures.
- Define glossary terms, ownership models and metadata standards within Microsoft Purview.
- Communicate project progress, risks, dependencies and key decisions to stakeholders
Required Skills & Experience
- Proven experience as a business analyst within data, analytics or data governance programmes.
- Hands-on experience with Microsoft Purview (formerly Azure Purview).
- Strong understanding of data governance, Metadata Management, Data Catalogues, Business Glossaries, Data Lineage, Data Stewardship, data ownership, and Data Quality
- Experience gathering and documenting business requirements.
- Strong stakeholder management and workshop facilitation skills.
- Experience creating process maps, user stories, acceptance criteria and functional documentation.
- Good SQL skills for data analysis and investigation.
- Experience using Azure DevOps, Jira, Confluence, Visio or similar collaboration tools.
- Excellent written and verbal communication skills.
- Strong analytical and problem-solving abilities
Desirable Experience
- Knowledge of Master Data Management (MDM).
- Understanding of regulatory and compliance frameworks relating to data.
- Experience working in cloud-based data environments.
- Familiarity with AI-assisted productivity tools for documentation and analysis.
Preferred Certifications
- Degree in business, information management, computer science, data management or a related discipline.
- Business analysis certifications (BCS, ECBA, CCBA or CBAP).
- Data governance certifications such as DAMA CDMP or DCAM.
- Microsoft certifications such as DP-900, SC-900 or Microsoft Purview training.
Personal Attributes
- Excellent communication and stakeholder engagement skills.
- Strong analytical mindset with attention to detail.
- Able to work independently and manage multiple priorities.
- Collaborative and proactive approach.
- Comfortable working with both technical and non-technical stakeholders.
- Quick learner with a passion for improving data governance and business processes.
- Strong organisational and documentation skills.
- Sound judgement around data privacy, governance and ethical data use.