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For Companies At a Glance
- Tasks: Build and maintain Looker dashboards, analyse data, and support strategic decision-making.
- Company: Join Houst, the world's largest host management service, revolutionising property management.
- Benefits: Enjoy a hybrid work model, 25 days holiday, and unique perks like 'pawternity' leave.
- Why this job: Grow your analytics career in a fast-paced environment with cutting-edge technology.
- Qualifications: Solid SQL skills, experience with Looker, and a proactive mindset.
- Other info: Be part of a culture that values innovation, autonomy, and continuous improvement.
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 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)
- 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
- 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
- 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
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 City of London employer: Houst
Contact Detail:
Houst Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Looker Specialist) in City of 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 your work or even create a mini dashboard to demonstrate your expertise. We love seeing what you can do!
✨Ask Smart Questions
During interviews, come prepared with insightful questions about the role and the company. This shows you're genuinely interested and helps you understand how you can contribute to Houst’s mission. Plus, it makes for a great conversation!
✨Follow Up
After your interview, drop a quick thank-you email to express your appreciation for the opportunity. It keeps you fresh in their minds and shows your enthusiasm for the role. We love a proactive candidate!
We think you need these skills to ace Data Analyst (Looker Specialist) in City of 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, as these are key for us. We want to see how your background aligns with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're excited about the role and how you can contribute to our team. Be genuine and let your personality come through – we love that!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of dashboards you've built or analyses you've conducted. This gives us a taste of your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 ready to discuss your experience with writing and optimising queries, as this is crucial for the Data Analyst role. Practise explaining your thought process when tackling SQL problems, as it shows your analytical mindset.
✨Familiarise Yourself with Looker
Since this position requires intermediate to advanced knowledge of Looker, take some time to explore its features. Prepare to discuss how you've used Looker in past projects, and think about specific dashboards or reports you've built that had a significant impact on decision-making.
✨Showcase Your Data Storytelling Skills
Being able to communicate data insights clearly is key. Prepare examples of how you've translated complex data into actionable insights for non-technical teams. Think about how you can demonstrate your ability to make data relatable and understandable during the interview.
✨Prepare Questions About the Company’s Data Strategy
Research Houst and their approach to data management. Prepare thoughtful questions about their data stack, BI strategy, and how they leverage data for pricing and revenue support. This shows your genuine interest in the company and the role, and it helps you assess if it's the right fit for you.
