Pricing Analyst
Resumo da vaga pela JobGrid
Pricing Analyst at Houst in London, United Kingdom is a full-time, mid-level hybrid role in Operations & Project Management. JobGrid presents the normalized role facts separately from the employer description, with the posting first seen and last checked on 2026-06-01. Candidates are sent to the original public application page with non-personal referral parameters; no salary was provided in the source payload.
- Hybrid role based in London, United Kingdom.
- Full-time position at mid seniority in Operations & Project Management.
- Source freshness is current to 2026-06-01: posted and last checked the same day.
- JobGrid keeps the employer description separate and publishes normalized role facts and comparable classification from the source data only. No salary information was provided in a
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.