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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 a hybrid work model, 25 days holiday, and unique perks like 'pawternity' leave.
- Why this job: Dive into data analysis and make impactful decisions in a fast-paced environment.
- Qualifications: Experience with SQL, Looker, and cloud-based data pipelines; strong communication skills.
- Other info: Be part of a culture that values innovation, autonomy, and continuous improvement.
The predicted salary is between 40000 - 45000 ÂŁ per year.
Salary: ÂŁ40,000- ÂŁ45,000
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 Limited.
Contact Detail:
Houst Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Looker Specialist) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Houst on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Looker dashboards and SQL queries. When you get that interview, having tangible examples will set you apart from the crowd.
✨Tip Number 3
Be ready for the technical stuff! Brush up on your SQL and data analysis skills. You might face some practical tests during the interview, so practice makes perfect!
✨Tip Number 4
Apply 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 Houst team!
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 specific projects or experiences that showcase your skills.
Showcase Your Technical Skills: Since this role involves working with SQL and cloud-based data pipelines, make sure to include relevant technical skills in your application. We love seeing examples of how you've used these tools in past roles!
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 Limited.
✨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 tackling SQL problems, as they might ask you to solve a query on the spot.
✨Familiarise Yourself with Looker
Since this role requires intermediate to advanced Looker skills, take some time to explore its features and functionalities. Be ready to share examples of dashboards you've built or how you've used Looker to support business decisions. Showing your hands-on experience will definitely impress them!
✨Understand the Business Context
Research Houst and its operations thoroughly. Understand how data impacts their business model and be prepared to discuss how your insights could drive strategic decision-making. This shows that you're not just a techie but also someone who can connect data to real-world outcomes.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about the team, the data stack, or the company culture. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it makes for a more engaging conversation!