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For Companies At a Glance
- Tasks: Own data relationships and report on performance trends to drive impactful insights.
- Company: Join Zoopla, a leading platform helping millions find their next home.
- Benefits: Enjoy flexible work, 25 days leave, wellness perks, and a generous pension plan.
- Why this job: Be part of a culture that values innovation and personal growth in the data space.
- Qualifications: Proficient in SQL and experienced with Tableau; curiosity and ownership are key.
- Other info: Opportunity to contribute to industry innovation and work on exciting ML projects.
The predicted salary is between 36000 - 60000 £ per year.
At Zoopla, we’re here to help everyone make intelligent decisions about their home. Do the best work of your life!
We’re a part of Houseful, home to trusted brands Zoopla, Alto, Hometrack, Calcasa and Prime Location. Together we’re creating the connections that power better property decisions by unlocking the combined strength of software, data and insight.
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. Where’s my next home going to be?
We want to help even more people make better property decisions, and that’s why we care so much about data. Whether someone is looking for their next home or an estate agent is looking to list, we need a best-in-class journey for both. Measurement, experimentation, and insights are the keys to unlocking this.
Responsibilities
- Taking ownership of the data relationship with business stakeholders
- 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 other data disciplines, e.g. dashboarding, AE modelling, business unit level deep dives and data sprints, supporting ML projects.
- We make time for innovation, so if you have an idea, shout, and we’ll make the space.
Requirements What does a great candidate look like
- Experience analysing pricing strategies. For example competitive pricing, value based pricing, and penetration pricing.
- 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.
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 a 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.
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Information Technology
- Industries
- Software Development
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Data Analyst - Zoopla employer: Houseful
Contact Detail:
Houseful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Zoopla
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, especially SQL and Tableau. Consider working on personal projects or contributing to open-source projects that allow you to showcase your skills in these areas.
✨Tip Number 2
Build a portfolio of data analysis projects that demonstrate your ability to translate complex business challenges into actionable insights. Highlight any experience you have with pricing strategies, as this is a key responsibility for the role.
✨Tip Number 3
Network with current or former employees of Zoopla to gain insights into the company culture and the analytics team. This can help you tailor your approach and show that you understand their values and expectations.
✨Tip Number 4
Prepare to discuss how you've driven projects forward in previous roles. Be ready to share examples of how you've taken ownership and accountability, as well as how you've fostered strong relationships with stakeholders.
We think you need these skills to ace Data Analyst - Zoopla
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst position at Zoopla. Familiarize yourself with the key skills mentioned in the job description, such as SQL proficiency and experience with data visualization tools like Tableau.
Tailor Your CV: Customize your CV to highlight relevant experiences and skills that align with the job description. Emphasize your analytical skills, ownership mentality, and any experience you have with pricing strategies or data-driven decision-making.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how you can contribute to Zoopla's mission. Mention specific examples of past projects where you translated complex data into actionable insights and how you fostered strong relationships with stakeholders.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially your proficiency in SQL and any experience with data transformation technologies like DBT. If you have familiarity with machine learning techniques, mention that as well to stand out.
How to prepare for a job interview at Houseful
✨Show Your Data Passion
Make sure to express your enthusiasm for data and how it can drive better property decisions. Share examples of how you've used data to influence outcomes in previous roles.
✨Communicate Clearly
Since excellent communication skills are crucial, practice explaining complex data insights in simple terms. Be ready to demonstrate how you can convey ideas effectively to both technical and non-technical stakeholders.
✨Demonstrate Ownership
Highlight instances where you've taken initiative and driven projects forward. Show that you understand the importance of accountability and how it contributes to team success.
✨Prepare for Technical Questions
Brush up on your SQL skills and be prepared to discuss your experience with data visualization tools like Tableau. You might also want to familiarize yourself with DBT and machine learning concepts, as these could come up during the interview.
