Future Tech Jobs Future Tech Jobs

Business Intelligence Developer

mthree
Stanwell, TW19 7EB, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Randstad Technologies Recruitment London, United Kingdom

EU Power BI Engineer | Lisbon | To

Akkodis Lisbon, Portugal
£30,213 – £34,529 pa Hybrid

Engineering Manager (Avatars)

Synthesia London, United Kingdom
Remote

Software Engineer

Faculty AI London, United Kingdom
Hybrid

AI Engineer - FDE (Forward Deployed Engineer)

Databricks London, United Kingdom

Staff Software Engineer - Backend

Databricks London, United Kingdom
Posted
10 Mar 2026 (2 months ago)
Share
Save job
Create job alert
The Opportunity

We’re looking for a Power BI Developer to join a data and analytics team responsible for delivering modern reporting and dashboard solutions across a large technology environment.


This role focuses on building high-quality Power BI dashboards, automated reporting solutions, and data visualisations that help business teams make better decisions. You’ll work closely with stakeholders to transform complex datasets into clear, reliable insights.


You’ll also play a key role in maintaining and optimising the Power BI platform, ensuring reporting solutions remain scalable, secure, and performant.


What You’ll Do

  • Design, develop, and maintain Power BI dashboards and automated reporting solutions
  • Create dynamic visualisations and data models to support business decision-making
  • Manage and maintain data connections and integrations to ensure accurate and reliable reporting
  • Perform data validation and quality checks to guarantee consistency across reports
  • Optimise Power BI refresh schedules and resource usage to maintain performance and system stability
  • Support Power BI platform governance, including workspace security and capacity monitoring
  • Collaborate with business stakeholders and technical teams to refine reporting requirements
  • Continuously improve reporting solutions and contribute to best practices within the data platform

Key Technical Requirements

  • Strong experience with Microsoft Power BI
  • Experience working with Power Query and DAX
  • Experience building interactive dashboards and data visualisations
  • Understanding of data modelling and reporting best practices
  • Experience working with Power BI Service and managing workspaces or environments
  • Experience working in collaborative Agile teams
  • Strong communication skills and ability to work with distributed teams and stakeholders

Nice to Have

  • Knowledge of Microsoft Fabric
  • Experience with Azure data platforms or cloud services
  • Background in data analysis, data mining, or database design
  • Microsoft certification such as Power BI Data Analyst Associate (PL-300)

About mthree

mthree partners with leading financial services and technology firms to deliver high-quality, job-ready technology talent.


We provide:

  • Targeted training aligned to client environments
  • Long-term consulting roles at top-tier organisations
  • Ongoing career support, mentoring, and progression

At mthree, consultants gain real project experience, continuous development, and a clear pathway for long-term career growth.


#J-18808-Ljbffr

Industry Insights

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

Products

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.

Jobs

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

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.

Jobs

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

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.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.