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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) employer: Houst Limited.
Contact Detail:
Houst Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Looker Specialist)
✨Tip Number 1
Network like a pro! Reach out to current employees at Houst on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Looker skills. We recommend doing some mock interviews with friends or using online resources to practice common data analysis questions. Show them you’re ready to hit the ground running!
✨Tip Number 3
Don’t forget to showcase your projects! If you’ve worked on any relevant data analysis projects, bring them up during your interview. We love seeing real-world applications of your skills, so be sure to highlight your achievements.
✨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 our team at Houst. Let’s get you that Data Analyst position!
We think you need these skills to ace Data Analyst (Looker Specialist)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your SQL skills, experience with Looker, and any relevant projects that showcase your analytical prowess. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our needs. Don’t forget to mention your eagerness to grow in a fast-paced environment like ours.
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them! Whether it's a dashboard you built or an analysis that led to actionable insights, we love seeing real examples of your work.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
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 solving data problems, as they might ask you to walk through a query you've written.
✨Familiarise Yourself with Looker
Since this position requires intermediate to advanced knowledge of Looker, 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 understand their business model, especially how they leverage data for decision-making. Think about how your role as a Data Analyst can impact their operations and revenue. This will help you answer questions more effectively and demonstrate your genuine interest in the company.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your analytical thinking and problem-solving skills. Prepare to discuss how you would approach specific data challenges, such as A/B testing or analysing property performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.