Senior Marketing Data Analyst - Zoopla - London - ref. q71688219

Hybrid - Minimum 2 days on-site in London, Tower Bridge HQ

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 were 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.

Our mission at Zoopla

Zoopla is one of the most recognised and loved UK consumer property brands. Our mission is to connect everyone to their home and give them better choices around it, whether moving, managing or financing. Over 60 million people visit Zoopla every month to access comprehensive data and information on every UK property.

Senior Marketing Data Analyst

So you can imagine we have quite a lot of data.

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 responsible for data and analytics for our marketing team. Embedded alongside consumer brand, performance and customer marketing and working alongside Marketing leadership, your role will be to manage data points (from many sources) and insight to lead our decision-making around marketing initiatives and investment.

• Taking full ownership of the data relationship with the Marketing team, delivering timely insights to support decision-making.
• Reporting on our baseline performance and trends - we are a data-driven team and always need to keep our finger on the pulse.
• Partnering with our ATL media agency, brand tracker agency and media mix modelling partner to define and hone Zoopla’s approach to understanding marketing ROI.
• Ideating ways to improve our understanding of our marketing mix and performance, such as refining our econometrics, working out new ways to cluster audiences for experimentation, developing our approach to incrementality, or looking at creative performance.
• You will also assist with varied work across data disciplines such as dashboarding, business unit level deep dives and data sprints, supporting wider machine learning projects and techniques, etc.
• Embolden stakeholders to ask and answer their questions based on numbers and not just gut.
• 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.

You would be ideal for this role if you:

• Demonstrate curiosity and a proactive approach to learning, constantly seeking opportunities to deepen your understanding and explore new ideas.
• Exhibit a strong desire for ownership and accountability, initiative to drive projects forward and deliver impactful results
• Possess experience in marketing analytics, with a solid understanding of data-driven decision-making in a commercial context
• Can translate complex business challenges into actionable data insights, driving meaningful outcomes and business impact
• Have excellent communication skills, able to convey ideas clearly and effectively to both technical and non-technical stakeholders
• Strive to set high standards and continually seek opportunities for personal and team growth, fostering an environment of continuous improvement
• Are 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

• 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
• Talent referral bonus up to £5K