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

Our vision is to digitise the entire home owning and buying experience, we understand data is how we unlock it.

At Zoopla, our success rests on the Commercial/Sales teams and the connections they establish. We're currently transitioning to provide them with the best possible information to meet both immediate and strategic needs. As a key member of the data team, you'll lead and define this approach, supporting this crucial department. Join us in driving excellence and innovation in our commercial efforts.

Responsibilities

Taking full ownership of the data relationship with the commercial / sales teams, including actively managing data pipelines, ensuring data integrity, and delivering timely insights to support sales strategies and decision-making

Leading and defining projects & workload within the data team, ensuring alignment with business objectives and priorities

Driving continuous improvement in data processes and analytics capabilities

Challenging the status quo by critically evaluating existing processes, methodologies and assumptions to identify opportunities to innovation and optimisation

Supporting customer needs by leveraging data-driven insights to understand customer behaviour, preferences and trends

Collaborating with cross-functional teams to deliver tailored solutions and experiences 

Identifying and interpreting performance trends and growth drivers through comprehensive analysis of sales, marketing and customer data and translating these insights

Proactively identifying revenue and product opportunities for sales teams and customers through advanced data analysis, market research, and competitive intelligence

Engaging in diverse tasks across data disciplines, including developing dashboards, conducting deep-dive analysis, applying ML techniques, and implementing data transformation processes using tools like DBT (Data Build Tool) and others

Encouraging stakeholders to pose and address their own queries using data by promoting data literacy and providing training and support on data tools and techniques

Building and nurturing strong analyst-stakeholder relationships, fostering collaboration, trust, and open communication, and ensuring that Sales teams perceive the data team as an indispensable partner in achieving their goals

What does a great candidate look like

Displays curiosity and a systematic approach to problem-solving

Possesses analytics experience with Commercial/Rev Ops/Sales data

Proficient in translating business problems into actionable data insights

Excellent communication skills, capable of conveying complex ideas effectively

Enthusiastic and engaged with the dynamic landscape of data

Prioritises finding the right fit for the role over years of experience

Sets high standards and actively seeks opportunities for improvement

Customer-focused and driven to understand their needs deeply

Thrives in collaborative environments and enjoys building things with a team

Values ownership and accountability for outcomes

Holds strong opinions but remains open to constructive debate and discussion

Demonstrates a bias towards taking action and driving results

Excited about the opportunity to innovate and redefine an industry through data-driven insights

Committed to leveraging data to generate meaningful insights and drive revenue growth

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

7.5% pension contribution by the company

Discretionary annual bonus up to 10% of base salary

Talent referral bonus up to £5K