- Salary
- $45k – $50k/yr
- Location
- Remote (LATAM)
- Workplace
- Remote
- Type
- Contract
- Department
- AirDNA
- Experience
- 2+ years
- Source
- Lever
Description
About 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.
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. 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.
The Role
We're looking for a Strategy & Planning (S&P) Analyst to serve as the foundational data architect within our S&P function. Partnering closely with the S&P Associate as well as CFO, you'll build a unified, comprehensive data ecosystem across AirDNA auditing, consolidating, and enriching the company's core data tables to deliver a holistic view of business performance.
This is a ground-floor opportunity to shape how an entire company sees and uses its data. You'll work cross-functionally with Growth, Finance, Marketing, and Customer Support, leveraging SQL, BI tools, and automation to turn fragmented data into a single source of truth that drives executive decision-making.
Skills
PythonSQLPostgreSQLAirflowSnowflakeETLConfluenceExcelPower BIHubSpot