Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

The Global Markets engineering team is focusing on evolving our guest and host experience for global markets through new product initiatives to accelerate international growth.

Expanding in under-penetrated global markets is a key pillar of our company’s growth strategy. To achieve this, we want to innovate in every sense of the world and adapt our product to every corner of the globe. We want every user in each of our 220+ countries and regions to feel right at home.

The Difference You Will Make:

Analytics Engineers build the data foundation for reporting, analysis, experimentation, and machine learning at Airbnb. We are looking for someone with expertise in metric development, data modeling, SQL, Python, and large scale distributed data processing frameworks like Presto or Spark. Using these tools, you will transform data from data warehouse tables into valuable data artifacts that power impactful analytic use cases (e.g. metrics, dashboards). You will sit at the intersection of data science and data engineering, and work collaboratively to achieve highly impactful outcomes.

Data can transform how a company operates; high data quality and tooling is the biggest lever to achieving that transformation. You will make that happen.

A Typical Day: 

• Understand data needs by interfacing with fellow Analytics Engineers, Data Scientists, Data Engineers, and Business Partners
• Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
• Design, define, and implement metrics and dimensions to enable analysis and predictive modeling
• Become a data expert in your business domain and own data quality
• Build tools for auditing, error logging, and validating data tables
• Build and improve data tooling in partnership with internal Data Platform teams 
• Define logging needs in partnership with Data Engineering
• Design and develop dashboards to enable self-serve data consumption

Your Expertise:

• Passion for building high quality assets and scaling data
• 5+ years of relevant industry experience
• Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hive)
• Expert in at least one programming language for data analysis (e.g. Python, R)
• Experience in schema design and dimensional data modeling
• Ability to perform basic statistical analysis to inform business decisions
• Proven ability to succeed in both collaborative and independent work environments
• Detail oriented and excited to learn new skills and tools

Preferred qualifications:

• Experience with an ETL framework like Airflow
• Python, Scala, Superset, and Tableau skills preferred
• An eye for design when it comes to dashboards and visualization tools

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.