Marketing Data Analyst / Scientist - Fintech

Client Server

London

2 months ago

Applications closed

Related Jobs

View all jobs

Growth Data Scientist/Analyst (copy)

Senior Data Scientist

Senior Data Scientist / Machine Learning Engineer

Junior Data Analyst - Ipsos Karian & Box

Data Analyst

Data Analyst in Manchester)

Marketing Data Analyst / Scientist (GA4 DBT SQL GIT) London / WFH to £90k
Do you have expertise with analysing marketing data combined with excellent stakeholder management and communication skills?
You could be progressing your career in an impactful Marketing Data Analyst at a global FinTech / CFD trading company that has been consistently voted as one of the UKs top employers.
As a Marketing Data Analyst / Scientist you will analyse marketing campaign performance across digital channels to drive insights, optimise campaigns and improve marketing effectiveness, collaborating with Product Managers and cross functional teams to provide insights that make a significant commercial impact.
You'll support the marketing team with segmentation and targeting strategies using data analysis, conduct thorough A / B testing to identify trends and opportunities and make statistical, data driven recommendations to improve marketing effectiveness. You'll be working with immature datasets with lots of changes and variables, experimenting and trying new things including modifying data pipelines.
Location / WFH:
There's a hybrid model with two days a week work from home, when you are in the office you'll be based in the City with an upbeat team environment, casual dress code and a range of facilities including roof terrace, restaurant and break out areas.
About you:
You have strong marketing analytics or data analysis experience for complex campaigns with A/B testing and multiple versions to understand success metrics
You have SQL skills and the technical ability to debug and make configuration amendments within DBT data pipelines, Airflow experience is desirable
You have experience with GIT version control
You have a good knowledge of Google Analytics, GA4
You have a good understanding of marketing metrics, KPIs and attribution models
You can translate data into actionable marketing insights
You have advanced communication, collaboration and stakeholder management skills
You have a strong understanding of mathematics, statistics and data science principles / tools
Apply now to find out more about this Marketing Data Analyst / Scientist (GA4 DBT SQL GIT) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

TPBN1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.