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

Nominate & Attend

Senior Marketing Data Analyst

LinkedIn
Greater London
2 weeks 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.

Jobs

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Jobs

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

Careers

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

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.