Junior Data Analyst

CV-Library
Manchester, Greater Manchester
13 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Aerospace

CBSbutler Holdings Limited trading as CBSbutler Reading, Berkshire, United Kingdom
£80 – £83 ph

Data Analyst - Sc cleared

CBSbutler Holdings Limited trading as CBSbutler Reading, Berkshire, United Kingdom
£80 – £83 ph

Senior Public Heath Analyst

i-Jobs Bracknell, Berkshire, United Kingdom

TM1 Developer - Senior Planning Analytics

Manpower Lytham, Lancashire, FY8 5PB, United Kingdom

Junior Data Scientist

The Flavour Network Nottingham, United Kingdom

Junior Data Engineer

Intec Select London, City And County Of the City Of London, United Kingdom
£35,000 – £40,000 pa
Posted
31 Mar 2025 (13 months ago)

Junior Data Analyst
Permanent role
Central Manchester (circa twice per week onsite)
Up to £39K DOE
Transport Sector

A fantastic opportunity has arisen for a Junior Data Analyst to join a dynamic transport modelling and analytics team. This role offers the chance to work on a variety of data-driven projects, including transport modelling, economic appraisal, Python programming, and general transport analytics. The successful candidate will support the delivery of key projects, providing data analysis, insights, and assurance services while working closely with colleagues and stakeholders.

What we're looking for:

  • Experience in database systems and data analytics
  • Understanding of Python programming
  • Ability to communicate complex data insights to non-technical audiences
  • Meticulous attention to detail and strong problem-solving skills
  • Team player with experience working on collaborative projects
  • A proactive approach and eagerness to contribute to successful project delivery

    Please do drop me an email if you're interested to hear more about this opportunity and have experience of the following above.

    (rullion is a recruitment agency)

    Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants

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.