Data Analyst

CompanyZoopla

LocationLondon, England, United Kingdom

Posted At2/24/2026

UK Visa Sponsorship Analytics

Occupation Type

Data analysts

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

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Description

We follow a hybrid working style, with three days per week spent in our Tower Bridge office.

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.

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), bridging commercial and product discussions
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 data disciplines, e.g. data product design, data modelling, analytical deep-dives, contributing to data science, AI and machine learning 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

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 the initiative to drive projects forward and deliver impactful results
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, greater emphasis is placed 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
Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes

Desirable

A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data, especially surrounding experimentation

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

We want to make Zoopla more welcoming, fair and representative every day. We'll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you've spent unemployed. We're reimagining the property industry for everyone, so we want our team to represent people from all walks of life. We actively welcome your application if your demographics or background are underrepresented in the technology or property sectors.

Benefits

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
7.5% pension contribution by the company
Discretionary annual bonus up to 10% of base salary