Data Analyst

Constant Recruitment Ltd
Birmingham, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Vallum Associates London, United Kingdom

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland

Director: Forensic Technology/Data Analytics/FinCrime/Regulatory

Brimstone-Recruitment City Of Dublin, Ireland

SVP Delivery, EMEA

Quantexa London, United Kingdom
£150,000 – £200,000 pa Hybrid

Senior Full Stack Engineer (Must be based in UK)

PolyAI London, United Kingdom
£40,000 – £70,000 pa On-site
Posted
1 Apr 2026 (Last month)

Power BI / Microsoft Fabric Data Analyst

Remote (UK-based only)

Salary: £40,000 – £50,000 DOE

- Do you enjoy turning messy data into something clear, useful, and meaningful?

- Are you confident with Power BI and Excel not just using them, but really understanding how they work?

- Have you started working with Microsoft Fabric, or are you actively building your experience in that direction?

You must be currently based in the UK and have full right to work without sponsorship?

We will prioritise candidates with strong Power BI experience and exposure to Microsoft Fabric or the wider Microsoft data platform.

We are working with a growing Microsoft-focused consultancy delivering data and workplace solutions to clients across the UK and internationally.

This is not a passive reporting role. You will be working alongside project teams, supporting real client environments, and helping turn complex data into something that people can actually understand and use.

There is a strong focus on the Microsoft data ecosystem particularly Power BI and Microsoft Fabric so this is an opportunity to deepen your experience with modern Microsoft data technologies as part of real delivery.

The Role

You will be working across a mix of data analysis, reporting, and migration-related projects, supporting both internal teams and clients.

This will include:

* Analysing, cleaning, and structuring data from multiple sources

* Building and developing Power BI dashboards and reports

* Supporting data migration and ETL processes

* Creating meaningful insights and presenting them clearly to stakeholders

* Troubleshooting data and reporting issues

* Working with project teams on live client environments

* Supporting users and explaining data in a way that makes sense

What We Are Looking For

This is where we need to be specific.

We are not looking for a generic or purely academic Data Analyst.

We are looking for someone who has worked with real business data in a Microsoft environment and is comfortable working across both technical and stakeholder-facing tasks.

You should have:

* Strong Power BI experience (Power Query, DAX, data modelling)

* Advanced Excel skills (formulas, pivot tables, ideally macros/VBA)

* Experience working with data in a commercial environment

* Experience with ETL processes and data migration work

* Confidence working with stakeholders and explaining data

You should also have:

* Exposure to Microsoft Fabric, or recent hands-on experience and a clear understanding of how it fits within the Microsoft data ecosystem

It would be beneficial if you also have:

* Experience working with Microsoft 365 data or environments

* Exposure to IT projects, infrastructure, or consultancy environments

* SQL and/or Python experience

* Experience with Dataverse or the wider Microsoft data platform

Important

* This role is remote within the UK only

* You must already have the right to work in the UK

* We are looking for commercial experience, not purely academic projects

* Applications without Power BI experience or exposure to the Microsoft data stack (including Fabric) are unlikely to be considered

Why This Role

* Work on real client projects, not just internal reporting

* Develop your experience with Microsoft Fabric and the wider Microsoft data ecosystem

* Be part of a collaborative, delivery-focused consultancy environment

* Continue to grow technically and professionally

If you are currently working as a Data Analyst but want to move into a more Microsoft-focused, project-driven role with exposure to Fabric, this is a strong next step

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.