At a Glance
- Tasks: Analyse data to optimise property pricing and drive revenue growth.
- Company: Join Houst, a fast-growing property management service with a global presence.
- Benefits: Enjoy competitive salary, flexible work model, and 25 days paid holiday.
- Other info: Be part of an inclusive team that values innovation and personal growth.
- Why this job: Make a real impact in the property sector while developing your analytical skills.
- Qualifications: Detail-oriented with strong data analysis skills and experience in pricing strategies.
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.
Qualifications
- 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.
Culture & 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.
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.
Ready to make an impact? Apply now and join us in shaping the future of property management!
Pricing Analyst employer: Houst Limited.
At Houst, we pride ourselves on being an exceptional employer that fosters a culture of innovation and autonomy, making it an ideal place for a Pricing Analyst to thrive. With a hybrid work model that promotes work-life balance, comprehensive benefits including generous holiday allowances, and a commitment to employee growth through mentorship and training, we empower our team members to make meaningful contributions while enjoying a supportive and inclusive environment. Join us in revolutionising the property management sector and be part of a dynamic team that values your insights and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Houst Limited.!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Houst Limited..
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We think you need these skills to ace Pricing Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Houst Limited., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Houst Limited.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Houst Limited.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Houst Limited.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
