About
Employment type: Full-time, Monday- Friday 09:00- 18:00
Location: London (hybrid: 3 days office, 2 days WFH)
Please note:
This role is open to applicants who already have the unrestricted right to work in the UK (40 hours per week) and are based within commuting distance of London. Unfortunately, we are unable to sponsor visas now or in the future.
About us:
Houst is the world’s largest host management service, helping homeowners unlock more value from their properties on Airbnb, Booking.com and beyond. We manage everything from marketing to guest communication, cleaning, and pricing optimisation, powered by technology and data.
The role:
We’re looking for a
Data Analyst
to join our team. You’ll help build and maintain the reporting, dashboards and models that guide our global operations. This role is perfect for someone who enjoys working with SQL and BI tools, is eager to learn, and wants to grow their analytics career in a fast-moving environment.
Key responsibilities: Business Intelligence & Reporting
Build and maintain Looker dashboards that support Finance, Operations, and Commercial teams
Ensure the core data model is accurate, accessible, and easy to consume
Create and maintain production assets that support long‑term BI strategy
Train and support business users on Looker and data interpretation
Monitor and support our modern data stack (Fivetran, BigQuery, Looker)
Data Analysis
Write and optimise SQL queries in BigQuery to turn raw data into clear, accurate models
Analyse large datasets (e.g. property performance, occupancy, revenue, RevPAR)
Support ad‑hoc analysis and business questions (A/B testing, churn, etc.)
Provide insights that support cross‑functional teams, from operations to growth
Partner with leadership to provide reports that drive strategic decision making
Pricing & Revenue Support (secondary focus)
Collaborate with the Pricing Analyst to monitor property performance and market trends
Help identify opportunities to maximise revenue through data‑driven insights
Provide competitor and market analysis to support pricing decisions
Data Quality & Documentation
Improve our data documentation and metric definitions
Ensure consistent cleaning of datasets and improvements to the BI setup
Spot opportunities to make reporting faster, easier, and more reliable
Solid SQL skills
with proven experience writing and optimising queries
Experience with Looker (intermediate to advanced)
Experience with cloud‑based data pipelines
(Fivetran, dbt or similar)
Experience with Python
for ad‑hoc analysis or data wrangling
Strong attention to detail and accuracy
when working with datasets
Clear communication skills , with the ability to explain data to non‑technical teams
Proactive and curious mindset , eager to learn and grow in a high‑impact role
Culture: Join a team that values innovation, autonomy, and continuous improvement, with regular team events and recognition for outstanding work.
Flexibility: Hybrid work model (3 days in office, 2 days remote) for work‑life balance.
Growth & Development: Access to career development resources, mentorship, and training to support your professional growth.
Comprehensive Benefits: 25 days of paid holiday (plus public holidays), an extra day off for your birthday, and a pension plan. Enjoy employee discounts, wellness resources, and “pawternity” leave for new pet parents.
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Languages
- English
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