At a Glance
- Tasks: Join a digital transformation journey, shaping data governance and analytics solutions.
- Company: Respected organisation investing in Microsoft Fabric and modern analytics.
- Benefits: Up to £55,000 salary, hybrid work, and excellent professional development opportunities.
- Other info: Collaborative environment with a focus on continuous improvement and meaningful projects.
- Why this job: Make a real impact on strategic decision-making with cutting-edge data technologies.
- Qualifications: Experience with Microsoft Fabric, Power BI, and strong data modelling skills.
The predicted salary is between 55000 - 55000 £ per year.
Senior Data Analyst - London (Hybrid) - Microsoft Fabric - Power BI - Semantic Modelling - Up to £55,000
We're working with a highly respected, nationally recognised organisation undergoing a major digital and data transformation.
With significant investment being made into Microsoft Fabric and modern analytics capabilities, this is a fantastic opportunity to join a business where data is becoming central to strategic decision-making.
This organisation is consolidating data from multiple commercial and operational systems into a governed enterprise data platform, creating a rare opportunity to join a Fabric implementation at a pivotal stage of its journey.
You'll have genuine influence over how data is modelled, governed and consumed across the business, working with senior stakeholders to deliver trusted analytics and reporting solutions.
This role is ideal for someone who enjoys sitting between business and technology teams, combining stakeholder engagement, data modelling and reporting expertise to drive meaningful outcomes.
- You Will Work With
- Business stakeholders to define KPIs, reporting requirements and analytical priorities.
- Microsoft Fabric and Power BI to deliver trusted reporting and analytical solutions.
- Semantic models, dimensions, hierarchies, measures and reusable business definitions.
- Data Engineers to help shape data requirements for Fabric Bronze and Silver layers.
- Advanced dashboards, reports and insight packs supporting commercial and operational decision‑making.
- Data validation, reconciliation and quality assurance across multiple business systems.
- Data governance, KPI documentation and analytical best practices.
- A broad range of data domains including finance, customer, retail, ecommerce, marketing and membership data.
Benefits
- Up to £55,000 salary
- Hybrid working with a minimum of 3 days per week onsite in London
- Opportunity to work on a flagship Microsoft Fabric programme
- Exposure to modern cloud analytics technologies and enterprise-scale data platforms
- Collaborative environment working alongside Data Engineers, Architects and BI specialists
- Strong focus on professional development and continuous improvement
- Excellent pension, holiday allowance and wider benefits package
- Long-term transformation programme offering meaningful project work from day one
- Key Experience
- Commercial experience working with Microsoft Fabric
- Strong Power BI expertise including DAX, Power Query and Semantic Models
- Experience delivering finance or commercial reporting solutions
- Strong data modelling skills including fact tables, dimensions and star schema design
- Experience translating business requirements into reporting and analytical solutions
- Strong SQL skills and experience working with multiple data sources
- Excellent stakeholder engagement and communication skills
- Experience validating and reconciling data to ensure reporting accuracy
- Understanding of Medallion Architecture, Lakehouse concepts or governed analytics would be highly beneficial
- #J-18808-Ljbffr
Senior Data Analyst - Fabric in London employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Fabric in London
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We think you need these skills to ace Senior Data Analyst - Fabric 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 Nigel Frank, 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 Nigel Frank. 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 Nigel Frank
✨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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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 Nigel Frank!
✨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.
