Data Analyst
London, England, United Kingdom
Houseful
Hybrid - Minimum 2 days on site in London, Tower Bridge HQ
At Houseful, we’re here to help everyone make intelligent decisions about their home
Do the best work of your life!
Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime location. Together were 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.
Our Software business
Our software solutions connect businesses and consumers, powering more than half of all UK housing transactions each year.
We deliver a one-stop shop for estate agents and home builders to drive efficiencies, speed up the transaction while reducing risk, improve end-customer experiences, stay ahead of regulatory changes and unlock new areas for business growth.
Our open APIs integrate with other platforms across lending, conveyancing and prop-tech providers, enabling us to power end-to-end property transactions and unlock a wide range of benefits for the wider industry and their customers.
Key responsibilities:
- Partner with product leadership to inform decisions and shape product strategy through data
- Provide product performance insights and recommendations
- Develop strategies for monitoring and reporting product KPIs to measure progress towards our product strategy. Establish performance reports for teams and executives
- Provide insights and identify trends in user behavior and product usage to enhance customer retention, increase lifetime value, and uncover new revenue growth opportunities
- Partner with the central analytics team to design and validate experimentation results
- Work within highly collaborative cross-functional teams (UX, Engineers etc.), contributing to product development through actionable insights
- Own the product analytics framework, creating the measurement & tracking plan for capturing the right data, and defining the metrics and methodology to build our understanding of our users’ behavior
Requirements:
- 3+ years working within a consumer-focused team (5+ for a senior)
- Professional experience using an advanced level of SQL to manipulate large data sets (transactions, complex joins, CTEs, window functions)
- Proficiency with Tableau or other data visualization tools and solid stats fundamentals (A|B testing, regression) are a plus
- Ability to communicate your findings to a business/non-technical audience and challenge product teams to make data-driven decisions
- A great communicator, comfortable working directly with engineers, product teams, and marketing teams
- Ability to prioritize problems to focus on the biggest issues
- Python, dbt and git experience would be a great bonus
Things that matter to us:
- You are curious at heart and like to take ownership of something to make it better
- You are detail-oriented
- You are a team player and communicate with your peers and other stakeholders in the company on a day to day basis
We want to make Houseful 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.
Requirements
- 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
- 7.5% pension contribution by the company
- Discretionary annual bonus up to 10% of base salary
- Talent referral bonus up to £5K
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Data visualization dbt Git KPIs Python SQL Tableau Testing UX
Perks/benefits: Career development Fertility benefits Fitness / gym Health care Insurance Medical leave Parental leave Salary bonus
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