The posting, in AirDNA's own words
archived Oct 27, 2026About AirDNA We built AirDNA to solve a problem: how do you make smart short-term rental decisions when there’s too much guesswork and not enough good data? What started in a garage in California in 2015 is now a global team helping thousands of people — from aspiring hosts to major real estate firms — make confident choices about where to invest, what to charge, and how to grow. Our mission is simple: give people the tools they need to build freedom through short-term rentals. Whether that means buying their first Airbnb or scaling a portfolio, we’re here to help unlock financial independence and growth. We track 10M+ listings in 120,000 markets, and our platform is trusted by users in over 100 countries. It’s big data, made useful. In 2024, AirDNA acquired Uplisting, a powerful property management software that helps hosts and operators manage listings across Airbnb, Vrbo, and other platforms. With features like channel management, automated messaging, dynamic pricing, task coordination, and financial reporting, Uplisting expands our mission to support every stage of the short-term rental journey — from investment to operations. The AirDNA team We’re a curious, driven, and kind group of humans who genuinely love what we do. Our values — Happy, Hungry, Honest — guide how we show up for our customers and for each other. Want to see what that looks like in action? You’ll get a feel once you meet us. We welcome applicants from all backgrounds and encourage you to apply even if you don’t check every box. Passion, potential, and perspective matter here.
Your role
As a Data Quality Analyst, you will work with product, other data scientists and engineering to help bring innovative solutions to market. At AirDNA, models are at the heart of all of our products. The data quality analyst is responsible for helping set strategies to continuously improve our data accuracy to help our customers stay ahead in a fast-changing industry. We help people make smarter data-driven decisions based on our short-term rental data and we will continuously strive to expand and improve that data while looking to maximize the value it provides. We develop solutions to facilitate customers gaining access and value from our data.
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Here's what you'll get to do:
Conduct exploratory data analysis on short-term rental pricing and occupancy datasets to identify patterns, trends, and outliers. Collaborate with domain experts to gain a deep understanding of factors influencing pricing and occupancy dynamics in the short-term rental market. Analyze predictive models to predict short-term rental markets behavior. Collaborate with teams to integrate new data sources and ensure data quality for modeling purposes. Work closely with cross-functional teams, including product managers, engineers, and business analysts, to implement pricing strategies based on data-driven insights. Clearly communicate findings and recommendations to both technical and non-technical stakeholders. Implement monitoring systems to track model performance over time and proactively identify issues or deviations. Regularly analyze models to adapt to changes in market conditions and business requirements.