Data Analyst (Looker Specialist) at Houst

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

45000.0

Posted On

17 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Looker, BigQuery, Data Analysis, Business Intelligence, Data Documentation, Python, Data Quality, Data Interpretation, Data Wrangling, A/B Testing, Revenue Analysis, Market Analysis, Communication Skills, Proactive Mindset, Attention to Detail

Industry

Real Estate

Description

Salary: £40,000- £45,000 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 (Looker Specialist) 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.

Responsibilities

The Data Analyst (Looker Specialist) will build and maintain reporting, dashboards, and models to guide global operations. This role involves working with SQL and BI tools to provide insights that support cross-functional teams and strategic decision-making.