Graduate Data Analyst

Bishops Stortford
9 months ago
Applications closed

Related Jobs

View all jobs

GRADUATE - Data Analyst

GRADUATE - Data Analyst

Graduate Data Analyst

Graduate Data Analyst

Graduate Data Analyst: Client Solutions & Growth

Graduate Data Analyst: Fast-Track Your Data Career

Graduate Data Analyst

Bishops Stortford- commutable from Stansted, Cambridge, Harlow

£32'000 - £40'000 + Full Training + Bonus (Circa 15-20%) + Pension + 25 days Holiday

Excellent opportunity on offer for a Graduate looking to receive extensive training in order to become a technical expert within a niche and specialist industry.

Are you a Graduate from a STEM subject (Maths, Statistics or similar)? Do you have high attention to detail? Are you looking for a supportive role where you will be encouraged to progress?

This company provide specialist solutions for engineering companies across a range of industries. Due to expansion through their loyal client base, they are looking for a graduate Data Analust to become part of their expert team.

Once trained, the role require an indepth understanding of client obectives whilst developing an understanding of technical projects. You will be responsible for undertaking mathematical and statistical analysis from current data and produce reports on these findings.

The ideal candidate will be a Graduate with a keen interest in Mathematics/Statistics with a high attention to detail and looking to get your foot in the door in a market leading company, offering full training and progression within the role.

Position:

Graduate Data Analyst
Full training provided
Full Training and Progression
£32'000 - £40'000 + Full Training + Bonus (Circa 15-20%) + Pension + 25 days Holiday
Person:

Graduate in a STEM subject or similar (Maths, Statistics etc)
Keen interest in data analytics
High attention to detail
Looking for progression and training
Reference Number: BBBH (phone number removed)

To apply for this role or to be considered for further roles, please click "Apply Now" or contact Oliver Southward at Rise Technical Recruitment.

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.