Graduate Data Analyst (Insight) - Manchester

Agility Resoucing
Manchester, England
7 months ago
Applications closed

Related Jobs

View all jobs

Trainee Data Analyst (Excel, SQL & Power BI)

Netcom Online Learning Sheffield, United Kingdom
£25,000 – £35,000 pa Remote

Graduate AI Data Scientist

Global Tech Recruitment London, United Kingdom
£42,000 – £45,000 pa Hybrid

Junior Data Scientist

The Flavour Network Nottingham, United Kingdom

EMEA Energy Industry Go-To-Market (GTM) Leader

Databricks United Kingdom
£100,000 – £150,000 pa Hybrid

Data Governance & Enablement Manager

Orbit Group Binley Woods, United Kingdom
Posted
16 Oct 2025 (7 months ago)

My client is a tech-led PLC organisation with a global presence who have an exciting opportunity for a graduate to join their analytical team.

This is an ideal opportunity for a graduate with a numeric related degree who is looking to develop their career in an analytical field. Ideally, you may have some experience as a Data Analyst either in a placement year or post-university.

This role offers a fantastic opportunity for a self-motivated, highly numerate graduate to make a significant difference within a well-established and rapidly growing organisation. This year alone they have hired 8 staff within the team across various areas of analytics.

Your day to day will consist of..

  • Deliver CRM analysis from campaigns and promotion performance through to ad-hoc requests
  • Work closely with the CRM Managers and Team Leaders to deliver valuable analysis to drive the promotional roadmaps
  • Support the creation of new segmentation on the customer base to drive targeting of promotional offers
  • Deliver campaign analysis on all products and lifecycles ideally with an automated solution
  • Derive insight from data analysis and communicate this output to a variety of different audiences using most appropriate presentation techniques.
  • Support to identify specific customer data targeting within product verticals.
  • Deliver ad hoc analysis requests on KPI performance, trends and opportunities to improve future campaigns.
  • Seek to utilise all data sources available
  • Work closely with the promotional executive to analyse end to end performance of the promotion and optimise for future activity.

What we want from you…...

  • Degree background in a numeric field i.e. Maths, Economics, Physics etc.
  • Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups
  • Working knowledge of one or more of the following is advantageous: SQL/Power BI
  • Clear, logical analytical approach to problem-solving
  • Ability to investigate data, find trends, forecast performance and provide insightful recommendations
  • 27 days holiday + bank holidays
  • Opportunity to develop technically i.e. SQL/Python/Power BI/R

If you are interested in this fantastic opportunity based in Manchester, please apply direct with an updated CV.

Apply for this job

Regional accountancy, finance and HR recruiters


#J-18808-Ljbffr

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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

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.