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Application ends: June 6, 2024
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  • Date posted
    May 7, 2024
  • Location
  • Apply before
    June 6, 2024
  • Career Level

Job Description


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, Mojo 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.


  • 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 on varied work across other data disciplines – this will include but not 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, places 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


  • 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


  • 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

More about HousefulVisit the company’s website for more information

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