Senior Data Analyst (Marketing)

Job title:

Senior Data Analyst (Marketing)

Company

Zoopla

Job description

Job Description:Hybrid Working Pattern – 2 days per week from Tower Bridge officeZoopla 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.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? 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.Responsibilities

• Taking full ownership of the data relationship with the Marketing team, delivering timely insights to strategically 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.
• Leading our media mix modelling approach to understanding marketing ROI.
• Ideating on ways to improve our understanding of our marketing mix and performance, this might be refining our econometrics, working out new ways to cluster audiences for experimentation, developing further our approach to incrementality, or looking at creative performance in a raft of different ways.
• You will also assist on varied work across other data disciplines – this will include but not limited to: dashboarding, business unit level deep dives and data sprints, supporting wider machine learning projects and techniques, etc. depending on the candidate .
• Embolden stakeholders to ask and answer their own questions based on numbers and not just gut (i.e. teach someone to fish…).
• 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.

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 initiative to drive projects forward and deliver impactful results
• Possesses experience in marketing analytics, with a solid understanding of data-driven decision-making in a commercial context
• 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, places greater emphasis 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 SkillsEssential

• 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

A quick note before you apply: We review every application carefully and your answers to the application questions really help us understand your experience and fit for the role. Please take a moment to answer them thoughtfully. Applications without responses may not be considered.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 – or membership in regional offices
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary

Expected salary

Location

London

Job date

Wed, 23 Apr 2025 22:18:04 GMT

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