Data Analyst (Marketing, Digital, Product) [Talent Pool]

3Search
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Join the 3Search Talent Pool for Marketing & Digital Analytics Roles


📍 London, UK

💸 £30,000 to £150,000


We partner with some of the UK’s most exciting brands - from global retailers and high-growth scaleups to innovative tech and travel companies - to hire the brightest minds in data and analytics.


If you’re in analytics looking for your next move, we’d love to hear from you.


What We Do


At 3Search, we specialise in placing top-tier analytics talent across:


  • Marketing Analytics – From campaign performance and attribution to media mix modelling and budget optimisation.
  • Digital Analytics – GA4, BigQuery, CRO, site behaviour, experimentation, and more.
  • Customer & Product Analytics – LTV, segmentation, journey mapping, product funnel analysis, etc.



We work with FTSE100s, challenger brands, and everything in between — helping teams build scalable analytics functions that drive real business impact.



What You Can Expect

We hire for roles across all levels, including:


  • Individual contributors: Marketing Analysts, Digital Analysts, Web Analysts, Performance Analysts
  • Managers & Leads: Analytics Managers, Senior Analysts, Team Leads
  • Heads of: Head of Analytics, Head of Insight, Head of Marketing Science



Salaries typically range from £30k to £150k, depending on the level and the company. Roles are often hybrid (2–3 days/week in-office), mostly London-based, and remote.




What Makes 3Search Different?

  • We understand analytics. Our recruiters come from marketing and digital backgrounds — so we get the roles we hire for.
  • We work fast, keep it human, and never waste your time.
  • We give you insight into what hiring managers are really looking for, helping you tailor your CV, prep for interviews, and land the right offer.




Ready for a New Challenge?


If you’re not seeing your perfect role live right now, join our talent pool.

We’ll keep you in mind for upcoming roles across:


  • Ecommerce
  • Fashion & Retail
  • Media & Publishing
  • Travel & Hospitality
  • Tech
  • D2C & Subscription



👉 Submit your CV and tell us a bit about what you’re looking for.



We can’t wait to help you find a role where your analytics skills make a real impact.


📧

🌐 3search.co.uk

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

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.

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.

🍪 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.