At a Glance
- Tasks: Lead data governance analysis and improve data processes with innovative tools.
- Company: Dynamic tech company in London with a hybrid work culture.
- Benefits: Competitive salary up to £64K, plus benefits and professional growth opportunities.
- Other info: Exciting role with opportunities to work with Microsoft Purview and cutting-edge technologies.
- 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 – Upto £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 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 in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Careerwise Uk.
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When you find a suitable opening like Business Analyst – Data Governance & Microsoft at Careerwise Uk, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Business Analyst – Data Governance & Microsoft in 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Careerwise Uk, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Careerwise Uk. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Careerwise Uk
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Careerwise Uk!
✨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.
