Houst
Data Science & Pricing Graduate
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract
Location:
Cape Town, South Africa
Work mode:
Onsite
Published on:
9 September 2026
What they need
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
Requirements
Recent Graduate with a BSc or MSc in Data Science, Mathematics, or Data Analytics
Knowledge of SQL, Python and/or R
Experience with Looker and LookML development would be strongly desirable
Strong prioritisation and stakeholder management skills
Ability to communicate effectively with non-technical business users
Understanding of basic statistical methods, particularly hypothesis testing
Analytical mind and business acumen
Strong mathematical knowledge
Problem-solving aptitude
Excellent communication and presentation skills
Solid understanding of machine learning
Knowledge of data management and visualization techniques
A knack for statistical analysis and predictive modelling
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