Data Analyst

Constant Recruitment Ltd
Birmingham, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Analyst

Rise Technical Recruitment London, United Kingdom
£43,000 – £43,200 pa Contract

Data Analyst

Greencore Osberton, Nottinghamshire, United Kingdom
On-site

Data Analyst Business System Analyst

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£60,000 – £70,000 pa Hybrid

Data Analyst (Power BI SQL Azure | Data Transformation)

Avanti Recruitment East Barnet, London, EN4 8TB, United Kingdom
£65,000 pa Hybrid

Data Analyst and Power Bi

Long O Donnell Associates Limited County Durham, United Kingdom

Data Insight Analyst

4Recruitment Services Lambeth, London, SE1 7JW, United Kingdom
£34 ph On-site
Posted
31 Mar 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

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.