At a Glance
- Tasks: Collaborate with teams to enhance data governance and deliver measurable business value.
- Company: Global company based in Central London with a focus on innovation.
- Benefits: £64K salary, hybrid work model, and comprehensive benefits package.
- Other info: Exciting opportunities for career growth in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact on data governance initiatives.
- Qualifications: Experience in business analysis and knowledge of data governance concepts.
The predicted salary is between 40500 - 49500 £ per year.
We are hiring a Business Analyst - Data Governance and Microsoft Purview to work with business stakeholders, data owners, data stewards and technology teams to capture requirements, map processes, document data definitions and support the delivery of practical governance improvements using Microsoft Purview where appropriate to create measurable business value.
This is a hands-on business analysis role with a strong focus on data governance and Microsoft Purview: you will help define ways of working, document current and future state processes, support data quality and ownership initiatives, and ensure business requirements are clearly translated into deliverable actions across cataloguing, glossary, lineage, classification and data quality use cases.
Duties & Responsibilities
- Work with business stakeholders, data owners, data stewards and technical teams to gather, analyse and document requirements for data governance initiatives.
- Document current and future state business processes, data flows, roles, responsibilities and governance controls.
- Support the definition and adoption of data ownership, stewardship, data quality, metadata management and data issue management processes.
- Support the configuration, adoption and business use of Microsoft Purview capabilities such as the data catalogue, business glossary, collections, classifications, lineage and data quality features.
- Translate business needs into clear functional requirements, user stories, acceptance criteria and prioritised backlogs.
- Facilitate workshops, interviews and playback sessions to align stakeholders and validate requirements, processes and governance outcomes.
- Create and maintain documentation including business requirements, process maps, data dictionaries, glossaries, RAID logs and decision records.
- Use SQL, reporting tools or data profiling outputs to support data analysis, data quality investigation and evidence-based recommendations.
- Collaborate with data engineering, analytics, architecture, security and compliance teams to ensure governance requirements are embedded into solution design.
- Support data quality measurement, root cause analysis, remediation planning and ongoing monitoring of agreed governance metrics.
- Contribute to the development of business glossaries, critical data element definitions, policies, standards and operating procedures.
- Work with stakeholders to define Microsoft Purview glossary terms, ownership models, metadata standards and catalogue enrichment requirements that improve data discoverability and trust.
- Provide clear communication on progress, risks, dependencies and decisions to project teams and senior stakeholders.
Experience using collaboration, documentation and delivery tools such as Microsoft 365, Azure DevOps, Jira, Confluence, Visio or similar platforms.
Knowledge of data governance concepts including data ownership, stewardship, metadata, lineage, data quality, master data and regulatory considerations.
Practical understanding of Microsoft Purview concepts including Data Map, Unified Catalogue, business glossary, classifications, lineage, collections, stewardship roles and data quality management.
Ability to use AI-assisted tools responsibly to improve productivity, analysis, documentation quality and stakeholder communication.
Proven track record delivering business analysis outcomes within data, analytics, governance, compliance or transformation programmes.
Certifications (Nice to Have)
- Degree or equivalent practical experience in Business Analysis, Information Management, Data Management, Computer Science, Business, Finance or a related discipline.
- Business analysis certifications such as BCS, IIBA ECBA, CCBA or CBAP are advantageous.
- Data governance or data management certifications such as DAMA CDMP, DCAM or equivalent are advantageous.
- Relevant Microsoft certifications such as DP-900, PL-300, SC-900, Microsoft Purview training or equivalent practical experience are beneficial.
Business Analyst (Data Governance)- Perm role- Global company- Central London employer: Careerwise
Careerwise is an excellent employer that fosters a collaborative work culture, offering flexible working arrangements with just two days a week in the vibrant city of London. Employees benefit from continuous professional development opportunities and are encouraged to innovate in their roles, making it a rewarding environment for those passionate about data quality and governance.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst (Data Governance)- Perm role- Global company- Central London
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We think you need these skills to ace Business Analyst (Data Governance)- Perm role- Global company- Central London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Careerwise
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
