Data Analyst at Houst

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

Requirements

•  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