National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Marketing Data Analyst

B&M Retail
Liverpool
1 month ago
Applications closed

Related Jobs

View all jobs

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Senior Marketing Data Analyst

Senior Data Analyst, Strategic Marketing

Following our recent growth and internal promotions, B&M Retail are seeking a highly skilled Marketing Data Analyst to join our team and play a crucial role in turning data into actionable insights that drive marketing performance and strategic decision-making.


As a Marketing Data Analyst, you will collect, analyse, and interpret a wide range of data sources including market research, customer and consumer behaviour, campaign performance, and partner data. Your insights will directly influence marketing strategies, campaign effectiveness, and business growth.


This role is ideal for an analytical thinker with a strong understanding of both data and marketing, capable of translating complex datasets into clear, concise insights for both technical and non-technical stakeholders.


You will be responsible for:

Gathering and consolidating data from multiple sources, including Google Analytics, YouGov, Kantar, banking partner data, sales reports, and other internal and external platforms Analysing large, complex datasets to uncover trends, patterns, and opportunities that inform marketing, buying and strategic business decisions, evaluate campaign performance, customer behaviour, and market dynamics Creating clear, insightful dashboards, visual reports, and presentations to communicate findings to senior stakeholders Marketing Performance & ROI Analysis across OOH, digital, CRM, social, web, PR, and influencer channels Providing recommendations to optimise marketing spend and campaign strategies based on data-driven insights as well as ways to improve data processes, reporting capabilities, and analytical approaches

To be successful in this role you will have:

Strong analytical and problem-solving skills with the ability to interpret complex datasets and understand how marketing data drives business growth Proficiency in data visualisation and reporting, with experience in tools such as Excel, Google Analytics, YouGov, Kantar, or other relevant platforms Solid understanding of statistical concepts and techniques for analysing data and interpreting results Familiarity with core marketing principles, channels (digital, CRM, social, web, PR, influencers), and best practices Previous experience in a marketing, retail, financial services, or consumer-focused environment

If this role excites you and you think you’ve got what it takes, we want to hear from you!


We offer you a range of great benefits including discount in our stores, a colleague portal offering discount for numerous retailers, hospitality & much more!

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.