At a Glance
- Tasks: Lead data governance analysis and improve data processes with innovative tools.
- Company: Dynamic company in London offering a hybrid work environment.
- Benefits: Competitive salary up to £64K, plus benefits and professional growth opportunities.
- Other info: Join a forward-thinking team and enhance your career in data governance.
- Why this job: Make a real impact on data governance while collaborating with diverse teams.
- Qualifications: Experience in data analysis, SQL, and strong communication skills required.
The predicted salary is between 40500 - 49500 £ per year.
Location - London - Hybrid - 3 days in the office
Salary - Up to £64K Base + Benefits
- Lead Data Governance Analysis: Partner with business stakeholders, data owners, data stewards and technology teams to gather, analyse and document requirements for data governance, data quality and transformation initiatives.
- Define & Improve Data Processes: Map current and future-state processes, data flows, roles, responsibilities and governance controls, identifying practical opportunities to improve data ownership, stewardship, quality and trust.
- Drive Microsoft Purview Adoption: Support the effective adoption and business use of Microsoft Purview, including Data Map, Unified Catalog, business glossary, classifications, collections, lineage, metadata and data quality capabilities.
- Translate Requirements into Delivery: Convert business needs into clear functional requirements, user stories, acceptance criteria and prioritised backlogs, ensuring governance requirements are translated into actionable deliverables.
- Facilitate Stakeholder Engagement: Lead workshops, interviews and playback sessions with business and technical stakeholders to establish data definitions, ownership models, governance standards and agreed outcomes.
- Support Data Quality & Governance Controls: Analyse data quality issues using SQL, reporting tools and profiling outputs; support root-cause analysis, remediation planning, monitoring and the definition of governance metrics, policies and standards.
- Create High-Quality Governance Documentation: Develop and maintain process maps, business requirements, data dictionaries, glossaries, critical data element definitions, RAID logs, decision records and operating procedures, using tools such as Microsoft 365, Azure DevOps, Jira, Confluence and Visio.
- Deliver Business Value Through Collaboration: Work closely with data engineering, analytics, architecture, security and compliance teams to embed governance into solution design, while applying strong analytical, communication and problem-solving skills and responsibly leveraging AI-assisted tools to improve productivity and outcomes.
Business Analyst - Data Governance & Microsoft in London employer: Careerwise
As a Senior Engineer in Data Engineering, you will join a dynamic team dedicated to delivering impactful data solutions within a large-scale programme. Our company fosters a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, all while working in a secure environment that values innovation and excellence. Located in the UK, we offer a unique chance to contribute to significant public sector projects, ensuring your work is both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst - Data Governance & Microsoft in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Careerwise!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Analyst - Data Governance & Microsoft 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, 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
✨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’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.
