At a Glance
- Tasks: Analyse data to optimise property pricing and drive revenue growth.
- Company: Join Houst, a fast-growing tech company revolutionising short-term accommodation.
- Benefits: Enjoy a competitive salary, flexible work model, and comprehensive benefits.
- Other info: Be part of a diverse team that values innovation and personal growth.
- Why this job: Make a real impact on property performance while developing your analytical skills.
- Qualifications: Strong data analysis skills and experience with pricing algorithms required.
The predicted salary is between 45000 - 50000 £ per year.
We’re Houst: A professional management service for properties. Our mission is to make hosting on websites hassle‑free for everyone using technology to disrupt the short‑term accommodation sector. We've grown fast. Since launching in 2015, we've partnered with thousands of happy hosts, helping them to make important earnings. The business has now expanded worldwide - we're operating in over 20 cities globally, from Auckland to Lisbon, and there's a lot more to come. From holidaymakers to full‑time landlords, host happiness is central to everything we do.
We are seeking a highly detail‑oriented Pricing Analyst to join our team. The ideal candidate will play a critical role in helping us optimise the pricing of properties, with the objective of driving revenue growth, improving occupancy rates, and maximising RevPAR. This position requires someone who is not only comfortable with analysing large sets of data but also proactive in implementing insights and solutions that will directly impact our business and our clients.
- Pricing Strategy
- Work hands‑on to develop and implement property pricing strategies that optimise both occupancy and revenue.
- Continuously monitor property performance and recommend price adjustments based on demand, market trends, and other relevant factors.
- Utilise data to track and compare competitor pricing, ensuring that Houst's properties remain competitive in the marketplace.
- Data Analysis & Reporting
- Analyse large datasets related to property performance, including revenue, occupancy, and RevPAR.
- Interpret models and algorithms to predict trends and opportunities for pricing optimisation.
- Create detailed reports to communicate key insights to the pricing and revenue management teams.
- Revenue Maximisation
- Collaborate with cross‑functional teams to improve overall revenue management and growth.
- Identify patterns and insights that can be leveraged to maximise the return on properties for clients.
- Support decision‑making processes by providing data‑backed insights and recommendations.
- Market Trend & Analysis
- Conduct regular market and competitor analysis to identify emerging trends and market shifts.
- Leverage insights from data to stay ahead of market fluctuations and adjust strategies accordingly.
Requirements
- Strong ability to collect, organise, analyse, and interpret datasets with high accuracy.
- Exceptional attention to detail, ensuring data accuracy and high‑quality insights for decision‑making.
- Willing to take a proactive role in driving property performance improvements and adapting pricing strategies.
- Strong verbal and written communication skills with the ability to present complex data in a clear and concise manner to stakeholders.
- Confident with pricing algorithms, revenue management systems, and dynamic pricing tools.
- Experience with Looker and SQL.
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: Competitive salary, 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.
Salary: £45,000- £50,000 (DOE)
Diversity & Inclusion: Houst is committed to creating an inclusive and diverse workplace where everyone feels empowered to contribute and succeed. We value the unique perspectives that drive innovation and encourage applicants from all backgrounds.
Pricing Analyst employer: Houst
At Houst, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Pricing Analyst, you'll enjoy a hybrid work model that promotes work-life balance, alongside access to comprehensive benefits including competitive salary, generous holiday allowance, and unique perks like 'pawternity' leave. With a strong commitment to employee growth and a diverse workplace, Houst is the perfect place for those looking to make a meaningful impact in the fast-paced world of property management.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching Houst and understanding their mission. Be ready to discuss how your skills as a Pricing Analyst can help optimise their pricing strategies and drive revenue growth.
✨Tip Number 3
Showcase your analytical skills! Bring examples of how you've used data to make decisions in the past. This will demonstrate your ability to interpret datasets and provide valuable insights.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Houst team and contributing to our mission.
We think you need these skills to ace Pricing Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Pricing Analyst role. Highlight your experience with data analysis, pricing strategies, and any relevant tools like Looker or SQL. We want to see how your skills align with our mission at Houst!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing optimisation and how you can contribute to our team. Be sure to mention specific examples of how you've driven revenue growth in the past.
Show Off Your Analytical Skills:Since this role is all about data, don’t shy away from showcasing your analytical prowess. Include examples of how you've successfully interpreted large datasets and made data-driven decisions that positively impacted your previous employers.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Houst
✨Know Your Numbers
As a Pricing Analyst, you'll be dealing with data all the time. Brush up on your data analysis skills and be ready to discuss how you've used data to drive decisions in the past. Familiarise yourself with key metrics like RevPAR and occupancy rates, and think of examples where you’ve optimised pricing strategies.
✨Showcase Your Proactivity
Houst is looking for someone who takes initiative. Prepare to share specific instances where you identified a problem or opportunity and took action. Whether it was adjusting pricing based on market trends or implementing a new tool, make sure you highlight your proactive approach.
✨Communicate Clearly
You’ll need to present complex data insights to various stakeholders. Practice explaining your past projects in a clear and concise manner. Use simple language to describe your findings and recommendations, as this will demonstrate your ability to communicate effectively with non-technical team members.
✨Stay Ahead of Market Trends
Research current trends in the short-term accommodation sector and be prepared to discuss them during your interview. Show that you understand how these trends can impact pricing strategies. This will not only impress your interviewers but also show your genuine interest in the industry.
