Future Tech Jobs Future Tech Jobs

Customer Insight Analyst

Amtis Professional
Birmingham, United Kingdom
Last month
£40,000 – £50,000 pa

Salary

£40,000 – £50,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
1 May 2026 (Last month)

Benefits

20% bonus
Share
Save job
Create job alert

Customer Insight Analyst

Hybrid – 1-2 days per week

West Midlands based

Full-time

Up to £50,000 + up to 20% bonus

We're supporting a large, well-established business in hiring a Customer Insight Analyst to join their Data & Analytics function on a permanent basis. This is a hands-on role with real commercial impact, working with rich customer-level data to drive insight across multiple areas of the business.

The role is well suited to someone who is equally comfortable writing complex queries and presenting findings to senior stakeholders — communication and storytelling skills matter here as much as technical ability.

What you'll be doing:

  • Conducting multi-channel data analysis to understand customer behaviour and identify commercial opportunities
  • Building and maintaining dashboards that track performance across marketing channels and programmes
  • Developing segmentation models to support more targeted and personalised customer communications
  • Analysing customer retention and churn patterns to identify opportunities for intervention
  • Presenting insights clearly to stakeholders, including senior audiences
  • Supporting the development of new reporting solutions alongside existing BAU delivery
  • Contributing to a longer-term data science roadmap, including exposure to ML and predictive modelling

What we're looking for:

  • 3–5 years' experience in a customer, marketing, or commercial analytics role
  • Strong SQL skills — essential
  • Power BI experience
  • Confident presenting data and communicating findings to non-technical stakeholders
  • Python or R experience — desirable

What's on offer:

  • A varied role with genuine commercial impact across a large, diverse business
  • Exposure to a modern data stack and an evolving data science roadmap
  • A collaborative team environment with room to grow
  • Hybrid working — 1-2 days per week in Birmingham City Centre
  • Up to £50,000 salary + 20% bonus

If you are interested in this opportunity and would like to hear more, please apply with an updated CV and contact information, or reach out directly to

Related Jobs

View all jobs

Data & Insight Analyst

Forsyth Barnes Leeds, West Yorkshire, United Kingdom
£40,000 – £45,000 pa Hybrid

Data Science Analyst

Vermelo RPO Pe38Bg, United Kingdom
Permanent

Data Scientist

Harnham - Data and Analytics Recruitment Nottingham, United Kingdom
£55,000 – £65,000 pa Hybrid

Data Scientist

Harnham - Data and Analytics Recruitment Birmingham, United Kingdom
£55,000 – £65,000 pa Hybrid

Data Analyst - Customer/Marketing

Harnham - Data and Analytics Recruitment London, United Kingdom
£45,000 – £55,000 pa Hybrid

Business Data Analyst

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£250 – £277 pd On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. 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.

Jobs

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

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. 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.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.