At a Glance
- Tasks: Gather and analyse business requirements for data governance and support Microsoft Purview adoption.
- Company: Join a growing AI and Data team in a hybrid work environment.
- Benefits: Competitive salary of £64,000 and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and ethical data use.
- Why this job: Bridge the gap between business and technology while improving data quality and compliance.
- Qualifications: Experience in data governance and Microsoft Purview, strong analytical skills required.
The predicted salary is between 64000 - 64000 £ per year.
Business Analyst – Data Governance & Microsoft Purview
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 Dev Ops, 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.
Business Analyst – Data Governance & Microsoft Purview in London employer: Careerwise Uk
Careerwise-UK is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to thrive in their roles while working flexibly from home. With a strong emphasis on professional development, the company provides ample opportunities for growth and advancement, making it an ideal place for those looking to make a meaningful impact in the field of product data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst – Data Governance & Microsoft Purview in London
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We think you need these skills to ace Business Analyst – Data Governance & Microsoft Purview in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Careerwise Uk, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Careerwise Uk
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Careerwise Uk’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
