Senior Marketing Data Analyst

CPS Group (UK) Limited
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst/Manager

Data Analyst - Excel & Operational insight

Data Scientist

Senior Data Strategy Consultant, Marketing Solutions

Senior Data Engineer

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

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.