Houst
FinServ
PricingAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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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