Power BI Insight Specialist

Redhill
4 months ago
Applications closed

Related Jobs

View all jobs

Health data specialist

Data Insight Analyst - SQL

Senior Data Analyst - Supply Chain

Deputy Head of Service for Performance and Quality

Senior Analyst & Data Specialist

Senior Data Analyst

A well-established organisation based in Surrey are recruiting for a Power BI enthusiast to join their expanding Data & Insight Team, as they continue their journey to become truly data-driven.

They operate a hybrid working model, where you will be required to spend 3 days per week in their modern office in Epsom with the rest of your team, and can spend the remaining time working from home.

The focus of the Data & Insight team is to collect data focusing on the Customer Experience, and deliver engaging Power BI dashboards to various stakeholders, allowing them to track performance against KPIs and make informed business decisions.

Day-to-day, you will analyse and present this data in the form of insightful Power BI dashboards - you will support the development of their existing suite, as well as creating brand-new dashboards. Throughout, you will be working closely with various business stakeholders, the rest of the visualisation team, and their Data Science and Engineering teams - meaning there is great opportunity to broaden your skills in these areas too!

This is an end-to-end development role, and we are looking for a professional with some back-end SQL skills, as well as front-end Power BI skills. It would well-suited to a Power BI enthusiast who's looking to take their career to the next level with an incredibly customer-centric and forward-thinking organisation!

Requirements:

Experience working in a commercial data and/or insight team
Experience developing end-to-end Power BI dashboards including use of DAX
Strong SQL skills - including querying and data modelling
Excellent ability to tell the story around data
Strong communication and stakeholder management skillsBenefits:

Salary from £40-55,000 depending on level of experience
25 days holiday plus bank holidays
Pension - 3% employer and 5% employee
Discretionary bonus
On-site gym with discounted membership
Subsidised canteen
Car purchase scheme

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.