Houst

FinServ

PricingAnalyst

£45–50k London, England, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Pricing Analyst at Houst. Skills: Pricing, Revenue growth, Data analysis. Develop pricing strategies. Implement pricing strategies”

What You'll Achieve.

Optimise property pricing; Drive revenue growth; Improve occupancy rates; Maximise RevPAR

Industry & Context.

FinServ
Problems you'll solve

Data-driven insights

What They're Looking For.

Must Have

5+ years experience

Nice to Have

CFA charterholder preferred, FRM preferred

What You'll Do.

Develop pricing strategies

Implement pricing strategies

Monitor property performance

Recommend price adjustments

Track competitor pricing

Analyse property datasets

Interpret models and algorithms

Create detailed reports

Collaborate to improve revenue management

Identify patterns for return maximisation

Support decision-making processes

Conduct market analysis

Conduct competitor analysis

Adjust strategies based on insights

How You'll Work.

Team & Collaboration

Cross-functional teams

Communication Scope

Present complex data

Full Job Description

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 decisio

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