Data Science & Pricing Graduate

Who we are: 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, and continue to do so. Our journey: 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. About the role: We're looking for a driven, innovative, and solutions focused recent graduate to join our Data team on a contract basis. This is an exciting opportunity for someone with a passion for data analytics and problem solving, who is eager to make a tangible impact across multiple areas of the business. In this role, you will support data analysis and reporting across all business functions, helping to drive informed decision making through data-driven insights. You will also take ownership of our pricing algorithm, ensuring our property portfolio is priced effectively and competitively across all markets to maximise performance and revenue. Responsibilities: Manage full data pipeline from data sources, through BigQuery warehouse and LookML modelling, to business-facing dashboards Maintain existing LookML code and develop new data models to meet business needs Work with different parts of the business to understand their needs and translate into data solutions Support users in building their own dashboards and taking ownership where necessary Present information using data visualisation techniques Take ownership of pricing algorithm, designing improvements and working with developers to implement them Run live pricing experiments on property portfolio to evaluate changes Identify data analysis projects, plan and execute analyses, and interpret results using statistical analyses Analyse large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Align data projects with organisational goals Experiment with new models and techniques