Data Analyst

at  Houst

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.

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.

Nice-to-Haves:

• Experience in property management, hospitality, or real estate industries.
• Familiarity with pricing algorithms, revenue management systems, or dynamic pricing tools.
• Experience with Looker is a strong plus.

ABOUT THE ROLE:

We are seeking a highly detail-oriented Data 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.

ROLE RESPONSIBILITIES:

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.

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.

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.