At a Glance
- Tasks: Analyse data to help millions make better property decisions and drive impactful insights.
- Company: Join Zoopla, a leading UK property brand loved by over 91% of the nation.
- Benefits: Enjoy 25 days annual leave, remote work options, and wellness perks like gym access.
- Other info: We value diversity and welcome applicants from all backgrounds to join our inclusive team.
- Why this job: Be part of a dynamic team redefining the digital property landscape with innovative data solutions.
- Qualifications: Proficient in SQL and data visualisation tools; strong communication skills are essential.
The predicted salary is between 36000 - 60000 £ 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. We actively welcome your application if your demographics or background are underrepresented in the technology or property sectors.
Benefits include:
- 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.
Data Analyst employer: Zoopla
At Zoopla, we pride ourselves on being an innovative and dynamic employer that values curiosity and personal growth. Our hybrid working model allows for flexibility while fostering a collaborative environment in our vibrant Tower Bridge office, where employees are encouraged to share ideas and contribute to meaningful projects. With a strong commitment to diversity and inclusion, along with generous benefits such as enhanced parental leave and a discretionary bonus, we strive to create a workplace that supports both professional development and personal well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Zoopla on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Data Analyst. Personal connections can make all the difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data visualisation techniques. Be ready to discuss how you've used data to drive decisions in past roles. Show us that you can translate complex data into actionable insights!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! Communication is key, especially when working with stakeholders. Practice explaining your past projects in simple terms to show you can bridge the gap between tech and business.
✨Tip Number 4
Finally, 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. Let’s transform the property landscape together!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Your Curiosity:When you're 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 communicate effectively with both technical and non-technical folks!
Highlight Ownership:We value candidates who take 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 in our team!
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 keen on 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
Dive deep into Zoopla's mission and values. Understand how data plays a role in helping people make better home decisions. This knowledge will help you connect your skills to their goals during the interview.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll need to convey your ideas effectively to both technical and non-technical stakeholders, so think of examples where you've done this successfully.
✨Show Your Curiosity
Demonstrate your proactive approach to learning by discussing recent trends in data analytics or any new tools you've explored. This shows that you're not just skilled but also passionate about continuous improvement and innovation.
