At a Glance
- Tasks: Analyse data to help millions make better home decisions and drive impactful insights.
- Company: Join Zoopla, a leading UK property brand loved by over 91% of the nation.
- Benefits: Hybrid working model, dynamic team culture, and opportunities for innovation.
- Other info: Inclusive workplace that values diverse backgrounds and perspectives.
- Why this job: Be part of redefining the digital property landscape and make a real difference.
- Qualifications: Proficient in SQL, experience with Tableau, and a passion for data-driven insights.
The predicted salary is between 28800 - 48000 £ per year.
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. 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.
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. We want to help even more people make better property decisions, and that’s why we care so much about data. 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.
Data Analyst (Hiring Immediately) in London employer: Zoopla
At Zoopla, we pride ourselves on being an innovative and inclusive employer, offering a hybrid working model that allows our Data Analysts to thrive both in our vibrant Tower Bridge office and remotely. With a strong focus on employee growth, we encourage curiosity and creativity, providing opportunities to work on cutting-edge projects in data science and AI while fostering a collaborative culture where every voice is valued. Join us in transforming the property landscape and enjoy the benefits of a supportive team dedicated to making a meaningful impact in the lives of millions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Zoopla on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Zoopla's mission and values. Show us how your skills in data analysis can help transform the way people make home decisions. Tailor your examples to fit their needs!
✨Tip Number 3
Practice your communication skills! You’ll need to convey complex data insights clearly. Try explaining your past projects to a friend who isn’t in the field – if they get it, you’re on the right track!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Zoopla team.
We think you need these skills to ace Data Analyst (Hiring Immediately) in London
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let us see your curiosity shine through! Share examples of how you've proactively learned or tackled challenges in the past. We love candidates who are eager to explore new ideas and deepen their understanding.
Communicate Clearly:Make sure your application is easy to read and understand. Use clear language to convey your ideas, especially when discussing complex data insights. Remember, we want to see how you can bridge the gap between technical and non-technical stakeholders!
Highlight Ownership:We’re looking for someone who takes ownership of their work. In your application, mention specific projects where you drove results and took the initiative. Show us that you’re ready to take charge and make an impact!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our dynamic team at Zoopla!
How to prepare for a job interview at Zoopla
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with Tableau or similar visualisation tools. Be ready to discuss how you've used these in past projects, as this will show your technical prowess and ability to handle complex data queries.
✨Understand the Business
Research Zoopla's mission and values thoroughly. Understand their approach to helping people make better home decisions. This will help you connect your answers to their goals and demonstrate that you're not just a data analyst, but someone who genuinely cares about the impact of your work.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll likely be asked to convey your findings to both technical and non-technical stakeholders, so being able to articulate your thoughts clearly is crucial. Use examples from your experience to illustrate your points.
✨Show Your Curiosity
Be prepared to discuss how you stay updated with industry trends and your proactive approach to learning. Share specific instances where your curiosity led to innovative solutions or improvements in your previous roles, as this aligns perfectly with Zoopla's culture of innovation.
