Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Marketing Data Analyst

Harnham
10 months ago
Applications closed

Related Jobs

View all jobs

Digital Marketing Data Analyst

Digital Marketing Data Analyst...

Senior Data Analyst

Senior Data Analyst...

Data Analyst

Senior Data Analyst - Marketing Science

Marketing Data Analyst

Fully Remote in The UK (occasional travel to office)

£35,000-£45,000


An incredible opportunity to join growing leaders in the insurance sector as a Marketing Data Analyst!


THE COMPANY

A leading company in the insurance space is seeking a Marketing Data Analyst to join an established team and drive their business through their marketing sector. If you feel like you could build up a marketing strategy, this role is for you!


THE ROLE

As a Marketing Analyst, you’ll be speaking to key stakeholders of the business, conducting A/B testing and using your passion for marketing and analytics for the growth of the business! You will be monitoring and promoting campaigns to drive their brand through many media streams.


YOUR SKILLS AND EXPERIENCE

  • SQL and / or python
  • Experience using Analytics tool (preferably Adobe Analytics)
  • Passion for Marketing and Analytics


THE BENEFITS

  • £35,000-£45,000


HOW TO APPLY

Please register your interest by sending your CV to Rina Raka at Harnham via the Apply link on this page

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.