Data Platform Analyst: Azure, Fabric & Power BI in London

Data Platform Analyst: Azure, Fabric & Power BI in London

London Full-Time 31500 - 38500 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and deliver a secure data environment while integrating multiple data sources.
  • Company: Join Cluttons, a forward-thinking company focused on data innovation.
  • Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams in a dynamic and supportive environment.
  • Why this job: Make a real impact by providing actionable insights through Power BI dashboards.
  • Qualifications: Experience with Azure, Microsoft Fabric, and strong analytical skills required.

The predicted salary is between 31500 - 38500 £ per year.

Cluttons is seeking a senior data & reporting architect to design and deliver a secure, scalable data and reporting environment.

You will integrate multiple data sources, build a central data model, and develop Power BI dashboards to provide actionable leadership insights.

You will lead the adoption of Microsoft Fabric and the broader Microsoft data ecosystem, collaborating with Finance, commercial teams and Central Services.

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Data Platform Analyst: Azure, Fabric & Power BI in London employer: Cluttons

Cluttons is an exceptional employer that prioritises employee wellbeing and professional growth, offering a comprehensive benefits package including enhanced holiday entitlement, flexible working options, and a supportive family and wellbeing policy. Our collaborative work culture fosters diversity and inclusion, ensuring that every team member feels valued and empowered to contribute their unique perspectives. Located in a vibrant area, we provide access to numerous discounts and wellness resources, making it a rewarding place to build your career as a Credit Controller.

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Contact Details:

Cluttons Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Platform Analyst: Azure, Fabric & Power BI in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cluttons!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platform Analyst: Azure, Fabric & Power BI at Cluttons.

✨Leverage Professional Networks

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 Cluttons.

✨Apply Directly through Our Website

When you find a suitable opening like Data Platform Analyst: Azure, Fabric & Power BI at Cluttons, 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 Data Platform Analyst: Azure, Fabric & Power BI in London

Data Integration
Central Data Model Development
Power BI Dashboard Development
Microsoft Fabric
Microsoft Data Ecosystem
Collaboration Skills
Reporting Architecture

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 Cluttons, 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 Cluttons. 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 Cluttons

✨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 Cluttons!

✨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.