Data Analyst - Zoopla
Hybrid
London, United Kingdom
Full Time
13-03-2025
Job Specifications
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.
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.
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
With support from the rest of the Analytics team
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
Essential
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
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
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
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
About the Company
We’ve recently renamed our wider business to ‘Houseful’, which is why the name might be new to you. By doing so, we can now showcase the breadth of our brands and connected capabilities that are driving progress in the property industry. Houseful is the leader in residential property software, data and insight - owning and operating a family of trusted and established brands, including Zoopla, Hometrack, Prime Location, Mojo, Alto and Calcasa. It also means that when you work for one of our brands, you’re part of somethin... Know more
Related Jobs
- Company Name
- Understanding Recruitment
- Job Title
- Founding AI Engineer
- Job Description
- Founding AI Engineer - LegalTech - London A fantastic opportunity for an experienced AI Engineer to join a YC-backed AI startup transforming how legal professionals work. What You'll Be Doing: Lead development of proprietary AI algorithms that push the boundaries of what's possible with large language models Build and optimise state-of-the-art evaluation pipelines for benchmarking AI performance Implement cutting-edge prompting techniques to maximise LLM effectiveness Work directly with founders and a talented team of engineers to ship features fast What The Role Will Entail: Expert-level Python programming Production ML/AI system development LLM prompt engineering and optimisation Full-stack development experience (TypeScript/React + backend) Clear technical communication and documentation Building scalable evaluation frameworks What's In It For You: Salary of £80,000-£120,000 dependent on experience Significant equity in a fast-growing startup Work with an exceptional team of engineers, researchers, and domain experts Opportunity to shape the future of AI in legal tech Fast-paced environment where you can make immediate impact Please note this role is 5 days a week on site. Apply now for immediate consideration!
- Company Name
- {DevLogic}
- Job Title
- Data Engineer
- Job Description
- DevLogic is hiring a Data Engineer for a growing tech-driven company in Manchester. This is a blended role, working across data engineering, MI (Management Information), and software development, giving you the opportunity to work with modern data stacks while contributing to both infrastructure and insights. You'll be working with AWS, SQL, Python, TypeScript, and Azure DevOps, helping to build scalable data pipelines, optimise reporting structures, and contribute to back-end development. If you’re looking for a hands-on role where you can make a real impact, this could be a great fit. What You’ll Be Doing: Building & Optimising Data Pipelines – Developing and maintaining efficient data pipelines using SQL, Python, and AWS. MI & Reporting – Designing management information (MI) solutions, ensuring data integrity and accessibility for business insights. Infrastructure & DevOps – Working with Azure DevOps to automate deployments, improve data workflows, and enhance system reliability. Blended Engineering Role – Combining data engineering with back-end development, utilising TypeScript and Python to enhance the platform’s functionality. Collaboration – Working closely with analysts, software engineers, and stakeholders to ensure seamless data integration and reporting. What We’re Looking For: Experience as a Data Engineer, with a background in data pipelines, ETL, and automation. Strong SQL skills – able to design and optimise queries for large datasets. Proficiency in Python & TypeScript – used for data processing and back-end development. AWS experience – working with services like S3, Redshift, Lambda, and Glue. Azure DevOps knowledge – for CI/CD, infrastructure as code, and workflow automation. Experience with MI solutions – understanding business intelligence, reporting, and data visualisation (Power BI, Tableau a plus). Why Apply? Blended role combining data engineering, MI, and software development. Work on modern cloud-based data pipelines in AWS. Have real influence over data strategy and automation. Collaborate with a talented team in an exciting growth environment. If you’re excited by the intersection of data engineering, MI, and cloud automation.
- Company Name
- Turner & Townsend
- Job Title
- Data Engineering Consultant
- Job Description
- Company Description At Turner & Townsend we’re passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society. Every day we help our major global clients deliver ambitious and highly technical projects, in over 130 countries worldwide. Our team is dynamic, innovative, and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result, our people get to enjoy working on some of the most exciting projects in the world. Job Description Job Description Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit a data engineer with excellent technical knowledge of designing, building, and maintaining scalable data pipelines that will enable our clients to extract value from their data assets. The Role As Part Of The Role You Will Work with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy Understand and translate end-user requirements into designs and delivery plans for effective data solutions Design, develop, execute, and maintain highly automated data pipelines using cloud technologies Analyse and resolve data quality issues Build, maintain, and support data workflows and the necessary infrastructure as part of a data and analytics delivery team Identify opportunities for improvement and promote theses through the team Actively mentor and develop others in the team and inspire them through commitment and enthusiasm Foster and demonstrate an inclusive team culture focusing on service excellence and exceptional performance Take knowledge or experience and translate into new ideas or solutions Contribute to the development and maintenance of T&Ts documentation and processes Qualifications Skills required for this role are: Proven ability to work with with: Databricks Azure Data Factory Azure Data Lake Azure Synapse (and data warehousing approaches) or SSIS Azure Analysis Services Experience in programming languages such as: SQL Python Spark DAX A good understanding of Devops practices: CI/CD (Azure DevOps preferable) GIT and Version Control Exceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences. Desirable MLFlow and other MLOps / Machine Learning Engineering processes to support advanced analytical use cases Data modelling including Kimball Container technologies such as Kubernetes and Docker Experience translating designs of Azure data solutions into action Analysis/requirements gathering, solution design, and implementation of data platform and Azure technologies Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc. Additional Information Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at www.turnerandtownsend.com/ #LI-VF1 SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.
- Company Name
- Winston Fox
- Job Title
- Senior Data Engineer (Cross-Train to KDB+) – Quant Hedge Fund
- Job Description
- Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought to join a market-leading Quantitative Hedge Fund. You will join a 5-strong Data Engineering team covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production. This is also a rare opportunity to cross-train to work with KDB+. The firm work on a hybrid working schedule, with a minimum of three-days-per-week in the office, and are renowned for their friendly, supportive and collegiate culture, with an enviably low staff turnover. Requirements 5+ years working as a Data Engineer with 2+ years in Financial Markets Engineering, especially in a Hedge Fund, Trading Firm, and/or working with Quant Trading Technology Proficient in Python and SQL and familiarity with relational and time-series databases. Exposure to Snowflake or Databricks preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset….) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices. Passionate about code quality, data integrity, and building scalable and robust systems. Ability to communicate clearly with technical and non-technical colleagues. This is an incredible opportunity for a Data Engineer with 5+ years’ experience, to join a market-leading Quantitative Hedge Fund, with the added opportunity to cross-train into KDB+.