Data Analyst

Overview

Zoopla is one of the UK's most instantly recognisable property brands. Our mission is to help the nation make better home decisions by connecting people to their home and giving personalised insights for moving, managing or financing. We reach over 50 million visitors each month and search over 500,000 homes for sale and rent, helping people access exclusive data, find the best agents and secure mortgage deals.

We're a growing, dynamic team that embraces innovation and isn't afraid to push the boundaries. We're on a journey to redefine the digital property landscape, with much more to explore and achieve. Join us and transform how 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 Analytics team.
• Reporting on baseline performance and trends; keeping our finger on the pulse.
• Driving towards a self-serve first culture.
• Reporting on complex experimentation.
• Maintaining close analyst-stakeholder relationships; stakeholders should consider you part of their team.
• Engaging in 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

• Demonstrates curiosity and a proactive approach to learning, constantly seeking opportunities to deepen understanding and explore new ideas.
• Exhibits 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 to both technical and non-technical stakeholders.
• While recognising the value of experience, 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 continuous improvement.
• Inspired by 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
• Experience with Tableau or similar data visualization tools, including the ability to create insightful 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 around experimentation
• Familiarity with machine learning (ML) and artificial intelligence (AI) techniques, preferably in Python, R, or another programming language, enabling development and implementation of predictive models

• 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