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

Nominate & Attend

Senior Marketing Data Analyst

CPS Group (UK) Limited
City of London
1 week ago
Create job alert

Senior Marketing Data Analyst


Role: Senior Marketing Data Analyst

Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills

Type: Contract, Inside IR35

Location: London (Hybrid)

Start: ASAP / Urgent

Duration: 6+ Months

Pay Rate: TBC – Market Rates


Senior Marketing Data Analyst


CPS Group UK are delighted to be working with a leading, global organisation to appoint a Senior Marketing Data Analyst for an initial 6-month duration. Being a key member of the EMEA Analytics & Insights team, this role is critical to the evaluation of strategic marketing initiatives to drive acquisition and improve retention.


The Marketing Data Analyst will bring expertise in Marketing Analytics and will drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation & Geo-Testing as well as providing recommendations and strategic guidance on media mix optimisations.


Role Requirements


  • Collaborate with cross-functional teams including Marketing, Finance and Research to identify key measurement opportunities across markets and build marketing measurement roadmaps.
  • Drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation and Geo Testing to understand the incremental impact of marketing investments.
  • Partner with Analytics teams globally on model alignment and on-going development of marketing measurement methodologies.
  • Provide impactful recommendations and strategic guidance on media mix optimisations to influence budget allocation for future marketing campaigns.
  • Liaise closely with third-party media owners and be across past and upcoming media plans.


Required Skills & Experience


  • Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst
  • Highly proficient in SQL
  • Exposure to Data Warehousing technologies (e.g. Snowflake)
  • Excellent technical proficiency in statistical analysis tools – Python and/or R
  • Proven experience and strong knowledge of regression analysis including MMM and A/B Testing
  • Strong verbal and written communication skills
  • Proven experience engaging with and managing senior stakeholders


For more information or immediate consideration for this opportunity, please contact Charlie Grant at CPS Group UK on 02920 37 55 99 or email

Related Jobs

View all jobs

Senior Marketing Data Analyst

Senior Marketing Data Analyst

Senior Marketing Data Analyst

Senior Marketing Data Analyst

Senior Marketing Data Analyst

Senior Marketing Data Analytics Analyst (MMM's/Python/r)

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning 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 type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning 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 developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning 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 ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.