National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Marketing Analyst - Zoopla

Houseful
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Insight Analyst

Senior Credit RIsk & Data Analytics Manager

Senior Data Science Director

TikTok Shop - Senior Data Scientist, Operations

Senior Machine Learning Engineer

Hybrid - Minimum 2 days on site in London, Tower Bridge HQ

At Houseful, we’re here to help everyone make intelligent decisions about their home. Do the best work of your life!

Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa and Prime location.  Together we’re creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight.

We make moves with head and heart to achieve our big ambitions, and to drive progress in the property market. There’s never been a better time to join us.

Position Overview

Every month millions of people visit Zoopla, searching over 500,000 homes for sale and rent, finding the best agents and securing the latest mortgage deals. We want to help even more people make better decisions in their property decisions and that’s why we care so much about Marketing. You will be the go to person for data and analytics for our marketing team. Embedded alongside consumer brand, performance & customer marketing, your role will be to keep us making the best, most informed decisions in those teams.

Responsibilities

  • Reporting on our baseline performance and trends - we are a data driven team and always need to keep our finger on the pulse.
  • Ideating on ways to improve our understanding of our marketing mix and performance, this might be refining our econometrics, working out new ways to cluster audiences for experimentation, developing further our approach to incrementality, or looking at creative performance in a raft of different ways.
  • You will also assist with varied work across other data disciplines -  this will include but not be limited to dashboarding, business unit level deep dives and data sprints, supporting wider machine learning projects and techniques, etc. depending on the candidate.
  • Embolden stakeholders to ask and answer their own questions based on numbers and not just gut (i.e. teach someone to fish...).
  • Close analyst-stakeholder relationships are arguably the most important piece of a well-functioning data team, Marketing should see you as part of their team.

What does a great candidate look like

  • Demonstrates curiosity and a proactive approach to learning, constantly seeking opportunities to deepen understanding and explore new ideas
  • Exhibits a strong desire for ownership and accountability, taking initiative to drive projects forward and deliver impactful results
  • Possesses experience in marketing analytics, with a solid understanding of data-driven decision-making in a commercial context
  • Skilled at translating complex business challenges into actionable data insights, driving meaningful outcomes and business impact
  • Excellent communication skills, able to convey ideas clearly and effectively to both technical and non-technical stakeholders
  • While recognising the value of experience, place greater emphasis on finding the right cultural fit and individual capabilities for the role
  • Strives to set high standards and continually seeks opportunities for personal and team growth, fostering an environment of continuous improvement
  • Inspired by the prospect of contributing to industry innovation and eager to participate in reimagining the future landscape

Technical Skills

Essential

  • Proficient in SQL with a proven track record of handling complex data queries and manipulation
  • Demonstrable experience with Tableau or similar data visualisation tools, including the ability to create insightful and user-friendly dashboards and reports

Desirable

  • Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes
  • A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data
  • Familiarity with machine learning (ML) and artificial intelligence (AI) techniques, preferably in Python, R, or another programming language, enabling the development and implementation of predictive models and data-driven solutions

Benefits

      • Everyday Flex - greater flexibility over where and when you work
      • 25 days annual leave + extra days for years of service
      • Day off for volunteering & Digital detox day
      • Festive Closure - business closed for period between Christmas and New Year
      • Cycle to work and electric car schemes
      • Free Calm App membership
      • Enhanced Parental leave
      • Fertility Treatment Financial Support
      • Group Income Protection and private medical insurance
      • Gym on-site in London – or membership in regional offices
      • 7.5% pension contribution by the company
      • Discretionary annual bonus up to 10% of base salary
      • Talent referral bonus up to £5K
National AI Awards 2025

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.

Top 10 AI Recruitment Agencies in the UK: 2025 Edition

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.