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- Tasks: Build and maintain Looker dashboards, analyse data, and support business intelligence.
- Company: Join Houst, the world's largest host management service, revolutionising property management.
- Benefits: Enjoy 25 days holiday, hybrid work, and comprehensive benefits including wellness resources.
- Why this job: Make a real impact with data in a fast-paced, innovative environment.
- Qualifications: Experience with SQL, Looker, and cloud-based data pipelines; strong communication skills.
- Other info: Great culture with team events, mentorship, and opportunities for professional growth.
The predicted salary is between 34000 - 48000 £ per year.
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 London-based.
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
Requirements:
- 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
Benefits:
- 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.
Data Analyst (Looker Specialist) in London employer: Houst
Contact Detail:
Houst Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Looker Specialist) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Houst. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your SQL and Looker skills. Bring examples of dashboards you've built or analyses you've conducted. Let them see what you can do!
✨Prepare for the Interview
Research Houst and understand their business model. Be ready to discuss how your data analysis can help them optimise their operations. Tailor your answers to show you're not just a fit for the role, but for the company culture too.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Houst.
We think you need these skills to ace Data Analyst (Looker Specialist) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your SQL skills and any experience with Looker or similar BI tools. We want to see how your background aligns with what we do at Houst!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data analysis and how you can contribute to our team. Don’t forget to mention your eagerness to learn and grow in a fast-paced environment like ours.
Showcase Relevant Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your skills in action, especially with data analysis and reporting.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at Houst
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with writing and optimising queries, as this is crucial for the Data Analyst role. Practise explaining your thought process when solving data problems, as they might ask you to walk through a query you've written.
✨Familiarise Yourself with Looker
Since this role requires intermediate to advanced knowledge of Looker, take some time to explore its features and functionalities. If possible, create a sample dashboard or two to showcase your skills. Being able to demonstrate your understanding of Looker during the interview will set you apart from other candidates.
✨Understand the Business Context
Research Houst and its operations thoroughly. Understand how data impacts their business model and be ready to discuss how your insights could drive strategic decisions. This shows that you're not just a tech whiz but also someone who can think critically about how data fits into the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you've analysed large datasets or provided insights that influenced decision-making. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.