Future Tech Jobs Future Tech Jobs

Data and Insights Manager

Erin Associates
Lancashire, United Kingdom
4 months ago
£40,000 – £45,000 pa

Salary

£40,000 – £45,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Education
Degree
Posted
23 Jan 2026 (4 months ago)

Benefits

BUPA private healthcare Pension Life assurance Bonus
Share
Save job
Create job alert
Data & Insights Manager
Lytham St Annes, Lancashire
£45,000 + great benefits (BUPA private healthcare, pension, life assurance, bonus & more)

Are you a data-driven professional who enjoys turning customer data into meaningful insight? We’re working with a well-established and growing organisation in Lytham St Annes that’s expanding its Digital and IT function and is now looking for aData & Insights Manager to join the team.

This is a varied and rewarding role where you’ll take ownership of customer data, helping the business better understand its customers and deliver more personalised, engaging experiences.

What you’ll be doing
  • Making sure customer data is collected accurately and consistently across all channels
  • Managing the flow of customer data between systems to ensure it’s secure, reliable, and accessible
  • Cleaning and analysing data to uncover trends, patterns, and insights
  • Creating reports for CRM and Marketing teams to support segmentation and targeted campaigns
  • Working closely with technical teams to improve data integration and quality
  • Building dashboards and reports so stakeholders can easily track customer KPIs
What we’re looking for
  • Experience in a data, insights, analytics, or data management role
  • Knowledge of CRM and CDP platforms, ideally within a retail or customer-focused environment
  • Strong SQL skills and experience with segmentation and data modelling
  • Confidence working with analytics and BI tools
  • A good understanding of data protection and privacy regulations
  • Nice to have (but not essential): experience with Bloomreach CDP, A/B testing, or eCommerce platforms

Why this role? You’ll be joining afriendly, collaborative Digital team where your work will genuinely make an impact. The business values insight-led decision making and will give you the opportunity to shape how customer data is used across the organisation.

This is primarily anoffice-based role in Lytham St Annes, with occasional flexibility to work from home.

Keywords: Data & Insights Manager, Customer Data, CRM, Analytics, SQL, Excel, Lancashire, Lytham St Annes, Blackpool, Preston, Fleetwood

Send your CV to Alex or callto find out more.

Erin Associates is an equal opportunities employer and welcomes applications from all backgrounds. If you need any reasonable adjustments during the application process, please let us know.

Related Jobs

View all jobs

Systems, Data & Insights Manager

University College Birmingham Birmingham, West Midlands (county), United Kingdom
£42,254 – £43,482 pa Hybrid Clearance Required

Digital Insights & Merchandising Manager

Topps Tiles Leicester, LE1 5YA, United Kingdom
On-site

Research Manager - Data Services

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

Senior Engagement Manager (Analytics Consulting)

Harnham - Data and Analytics Recruitment London, United Kingdom
£110,000 – £120,000 pa Hybrid

Senior Engagement Manager (Analytics Consulting)

Harnham - Data and Analytics Recruitment Leeds, United Kingdom
£100,000 – £120,000 pa Hybrid

Research & Insights Manager

British Gypsum Loughborough, Leicestershire, LE11 2QG, United Kingdom
Hybrid

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.