Marketing Data Analyst

Plum Fintech
London
1 day ago
Create job alert

We are looking for an exceptional Marketing Data Analyst, who is excited about Plum's mission, to join our Marketing team. You will help expand the value we deliver across Plum through data-driven decision making.


What you'll be doing

  • Provide data support across the Marketing Team, with an increased focus on performance and lifecycle marketing
  • Lead insights projects around return-on-investment, segmentation and produce actionable analyses
  • Own measurement & attribution: you will collaborate with marketing team on how to track and quantify the growth different channels drive and how it is measured and controlled for incremental effects
  • Build and maintain data models in your space using BigQuery and dbt

You are excited to work in a fast-paced environment and contribute to Plum's mission!


Qualifications

  • You have a proven track-record of 2+ years, demonstrating strong analytical skills, ideally in a marketing team
  • You are impact-driven and are able to balance quality and speed
  • You have strong SQL skills and ideally Python / R. Bonus: dbt
  • You are experienced with data visualisation tools, e.g. Looker, tableau
  • Familiarity with marketing analytics and causal inference

Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI - that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more.


That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey!


What's in it for you

  • Own part of the company you're helping grow through stock options
  • Private health insurance
  • Annual training budget
  • Plum Premium for freeCompetitive referral scheme
  • Hybrid working: 2 days a week connecting in our beautiful offices in London, Athens, or Cyprus.Team breakfasts and team lunches
  • 25 days holiday + bank holidays
  • 45 work-from-anywhere days to give you flexibility to work your way
  • 2 weeks sabbatical after 4 years to take the break you deserve
  • Enhanced parental leave
  • 1 paid volunteering day annually
  • Annual team trip to a surprise destination!
  • A fun, inclusive company culture (think)

If you think this sounds like a bit of you then don't hesitate to get in touch! Thanks, Plum Team


Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.


#J-18808-Ljbffr

Related Jobs

View all jobs

Marketing Data Analyst - Independent Media Agency

Marketing & Data Analyst

Marketing Data Analyst

Marketing Data Analyst - Hybrid, Impact & Insights

Digital Business Data Analyst (Sales & Marketing Data Insights)

Mobile App Marketing Data Analyst

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.