Service Desk Analyst - Bristol

Experis
Bristol, Bristol (County)
9 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Intec Select London, City And County Of the City Of London, United Kingdom
£35,000 – £40,000 pa

Senior Machine Learning Engineer (Recommendation)

Sky Syon, London, United Kingdom

Genomic Data Scientist in Rare Disease (we have office locations in Cambridge, Leeds & London)

Genomics England Canary Wharf, London, E14 5AB, United Kingdom
£55,000 – £100,000 pa

Head of Analytics & BI

Coventry Building Society Coventry, United Kingdom
£88,000 – £121,000 pa Hybrid

Senior Development Scientist

Broughton Group Earby, BB18 6UQ, United Kingdom
£39,700 – £52,000 pa On-site

Customer Analytics Manager

Harnham - Data & Analytics Recruitment Manchester, United Kingdom
£70,000 – £90,000 pa Hybrid
Posted
30 Jul 2025 (9 months ago)

Service Desk Analyst - Bristol

An exciting opportunity to join an established client of mine based in North Bristol who are seeking a new member of their Helpdesk team which support an internal user base of 700 people.

This could be suitable for someone with experience in a 1st line role or perhaps someone with a background in customer service and a keen interest and knowledge of Information Technology areas such as Networking, Windows desktop environments, M365 environments etc. Excellent training opportunities will be provided for the successful candidate.

The Service Desk Analyst will be providing 1st line (and some 2nd line level) support via phone, email or face to face and will be working to set SLA targets.

This role requires 5 days a week on-site working in an office in North Bristol that is easily accessible via the M4/M32 motorway network.

The team cover a shift pattern operating from 7.30am - 5pm.

Good benefits, training and career progression are offered together with a competitive basic salary.

If this Service Desk Analyst role sounds of interest please get in touch with your latest CV.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

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.