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

Nominate & Attend

Marketing Data Analyst

Match Digital
City of London
6 days ago
Create job alert

Marketing Data Analyst

£35,000 - £40,000 + 10% bonus + benefits

London (2 days per week in the office)

Our client


Our client is a global strategic technology and payments partner. They deliver seamless personalised shopping experiences to over 29m international shoppers, who in turn generate €22.9bn revenue.


With 2,000 employees spread across 50 countries, they integrate with 300,000 point of sale systems in a number of luxury retailers and brands including Harrods, Selfridges, John Lewis, Liberty’s, Apple, Cartier, De Beers, Hermès, Rolex, Dior and Jimmy Choo.


Their products include tax-free shopping, smart data and intelligence, marketing and sales, POS technology and payment solutions.


The role

The Marketing Data Analyst will help the business to understand customer needs and behaviours through the analysis of complex data sets and subsequent translation into meaningful, shareable insights and stories.


This role will be hands on with building visualisations in Tableau to provide and improved view of how customers are engaging with marketing products and campaigns. The Marketing Data Analyst will conduct and advise on analysis to help with the optimisation of both new & existing products & features.


As a Marketing Data Analyst, you will:


  • Deliver Analysis for Marketing Products & Marketing Campaigns.
  • Identify the impact of marketing approaches and audience segmentation.
  • Analyse campaign success, develop KPI metrics, and optimise future campaign tactics.
  • Monitor and report on marketing campaign performance.
  • Assist with the development and execution of marketing strategies.
  • Identify new ways to use data to deliver opportunities to engage with customers, optimise channels, and deliver cost effectiveness.
  • Ensure enhanced customer profiling and segmentation.
  • Measure the effectiveness of marketing products, features, and campaigns, building compelling visualisation and case studies to be shared with the business.
  • Advise on how advanced statistical techniques can further improve the understanding of the customers.


To apply, you should have


  • Experience working as a Marketing Data Analyst.
  • Proven experience working with marketing data for audience segmentation and profiling.
  • Experienced analysing data from A/B and MVT.
  • Strong data visualisation skills (Tableau is preferred).
  • Advanced Microsoft Excel skills.
  • Experience working with customer data, segmentation, targeting and behavioural analysis.
  • Can showcase impactful and actionable insights.


The perks include


  • 25 days holiday + bank holidays.
  • An extra day off for moving to a new house; 2 days off for your wedding; 3 days off for charity / community days.
  • Private healthcare and medical cashback plan.
  • Perkbox.
  • Competitive pension plan.
  • Virgin gym membership.


Match Digitalspecialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries.

Related Jobs

View all jobs

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.