Data Analyst

Zoopla is one of the UK’s most instantly recognisable property brands. In fact, we’re known and loved by over 91% of the nation (and we’re working hard on the other 9%). Our mission is to help the nation make better home decisions - by connecting everyone to their home and giving them personalised insights to help with moving, managing or financing. Over 50 million people visit Zoopla every month to access exclusive data and information on every UK property, search over 500,000 homes for sale and rent, find the best agents and secure the latest mortgage deals.

We’re a growing, dynamic team that embraces innovation and isn’t afraid to push the boundaries. We’re only just starting our journey to redefine the digital property landscape, with much more to explore and achieve. Join us, and transform the way the nation makes home decisions.

We’re a growing, dynamic team that embraces innovation and isn’t afraid to push the boundaries. We’re only just starting our journey to redefine the digital property landscape, with much more to explore and achieve. Join us, and transform the way the nation makes home decisions.

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 looking for help on one of the biggest decisions in life. Where’s my next home going to be?

We want to help even more people make better property decisions, and that’s why we care so much about data. Whether someone is looking for their next home or an estate agent is looking to list, we need a best-in-class journey for both. Measurement, experimentation, and insights are the keys to unlocking this.

Responsibilities

• Taking ownership of the data relationship with business stakeholders
• With support from the rest of the Analytics team
• Reporting on our baseline performance and trends. Keeping our finger on the pulse.
• Driving us towards a self-serve first culture
• Reporting on complex experimentation
• Close analyst-stakeholder relationships are the most crucial component of a well-functioning data team. Stakeholders should consider you part of their team.
• Varied work across other data disciplines, e.g. dashboarding, AE modelling, business unit level deep dives and data sprints, supporting ML projects.
• We make time for innovation, so if you have an idea, shout, and we’ll make the space.

What does a great candidate look like

Technical Skills

Essential

Desirable

Benefits