Data Analyst

Hays Technology
London, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Harnham - Data & Analytics Recruitment London, United Kingdom
£48,000 – £50,000 pa On-site

Data Analyst

Grove Talent Solutions Chippenham, United Kingdom
£28,000 – £35,000 pa On-site

Data Analyst

Lynx Recruitment London, United Kingdom
£40,000 – £65,000 pa On-site

Data Analyst

Sagacity London, United Kingdom
£40,000 – £60,000 pa Hybrid

Data Analyst

Healix Esher, United Kingdom

Data Analyst

Jackson Hogg Newton Aycliffe, United Kingdom
Posted
26 Feb 2026 (2 months ago)

Data Analyst - ETL, Power BI, PACE, Databricks, Sharepoint

Up to £500 per day (Inside IR35 - Umbrella)

My client is an International Consultancy who require a Data Analyst with demonstrable ETL and Data manipulation skills to play a key role in transforming data across multiple systems through the use of tools such as Power BI, Databricks and Sharepoint as well as PACE.

Key Requirements:

Demonstrable experience of working as a Data Analyst in a large, commercial organisation
Proven expertise in Data manipulation and transformation across various platforms to support reporting and operational processes through the use of tools such as Power BI, Databricks and Sharepoint
Ability to extract and transform Data from the Risk Portal, Virtual Machine (VM), and PACE to transform into digestible reports
Good understanding of ETL processes
Flexible approach towards hybrid working if / when required
Nice to have:

Working knowledge of Access Databases
Previous experience in the Energy / Engineering / Construction / Utilities sector(s)
Immediate availability

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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 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.

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.