Senior Data Analyst Housr
Property search and energy billing management for tenants and landlords.
Permanent
Manchester
Remote: Not specified
Salary: Not specified
> 5 years
Skills we're looking for
Attention to detail
MySQL
Metabase
Google Analytics
HubSpot
+1
You'll be part of
93 employees
Our take
Founded by friends who met at university themselves, Housr is a rental app that utilises AI to reduce the hurdles for students looking to land a property. A seamless system for both landlords and renters alike, the streamlined system likens itself to Tinder, operating with the same ergonomic swiping system as the dating app. It’s a savvy idea, and one that speaks to a whole generation of young people fed up with high prices and unsustainable living situations. The app not only works for renting a property, but for bill management and housemate searches too, reflecting a market trend towards all-in-one mobile applications. The bill management function allows seamless bill sharing between parties, whilst the housemate search uses the same swiping function to ensure a seamless customer journey. Achieving three funding rounds in two years, Housr is definitely off to a promising start. Its next step will be to capitalise on its 186% year-on-year growth and expand its operations to universities in the USA.
You'll be working on
- We collect useful data across our product, sales, marketing and operations. The next step is turning more of it into clear answers that help teams decide what to do
- You’ll own analysis across the business, build reporting that people can use themselves, and investigate the questions that need a closer look. That could mean understanding why one student cohort is more engaged than another, where people drop out of a journey, or how acquisition costs compare with the value customers bring
- This is a hands-on individual contributor role, with regular contact across the business and leadership team, and has room to shape how we work with data
- Our current setup includes MySQL, HubSpot, Google Analytics and Metabase. Some analysis can happen within those systems today; joining information across them still involves manual work
- We’re planning a more connected data platform. You’ll help define the questions it needs to answer, the metrics we should agree on and the reporting teams need, working with engineering and external specialists on the wider build. There’s plenty of useful analysis to get into while that work develops
- Proactive analysis of product usage, cohorts, conversion, retention and commercial performance
- Clear recommendations that help Product, Sales, Marketing, Finance and Operations make decisions
- Dashboards and reporting that give teams a reliable view of their performance
- Shared definitions for important metrics, with clear documentation and checks on data quality
- Ad hoc investigations that explain what is happening, why it might be happening and what we should do next
- Practical ways to combine data from different sources, being clear about any gaps or limitations
- Support for colleagues to understand and use data in their day-to-day work and quarterly reviews
- Input into the future data warehouse, including reporting requirements, useful data models and consistent definitions
We're looking for
- You can explain your findings clearly to people who don’t work in data, including where the evidence is incomplete
- You enjoy working across teams and can challenge an assumption or ask a difficult question constructively
- You’re confident using SQL to investigate relational data, join datasets and check your work
- You’ve taken analysis from an initial business question through to a recommendation that people acted on
- You’re organised, careful with detail and comfortable deciding which questions deserve attention first
- You’ve built dashboards in Metabase or a comparable BI tool, and helped colleagues use them
- You understand product and commercial measures such as cohorts, conversion, retention, customer acquisition cost and lifetime value
- Experience in a marketplace, consumer product, subscription business or growing technology company would be useful
- Familiarity with HubSpot, Google Analytics or a warehouse project would also help
- We’re open to someone already working at Senior level or an experienced analyst ready for broader ownership
How we hire
- We aim to keep the process straightforward and relevant to the role
- An introductory conversation with our Talent Partner
- A conversation with Nick, our COO, about your experience and the work ahead
- A practical data analysis task and discussion, with the brief and time commitment shared in advance
- A final conversation with our leadership team