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:

Analytics Engineers build the data foundation for reporting, analysis and experimentation. We are looking for someone with expertise in metric development, data modeling, SQL, Python, and distributed data processing frameworks like Presto or Spark. Using these tools, along with first-class internal data tooling, you will transform data from data warehouse tables into critical data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and empower downstream data consumers.

As an Analytics Engineer within our Guest & Host org, you will sit at the intersection of Data Science and Engineering. You’ll focus on crucial initiatives across a wide range of product surfaces such as messaging, notifications, and co-hosting.

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
• Provide analytics support to make Airbnb headliner launches success. 

Your Expertise:

• 5+ years of relevant industry experience with a BS/Masters, preferably in CS, or 2+ years with a PhD
• Passion for high data quality and scaling data science work
• Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hive)
• Experience in at least one programming language for data analysis (e.g. Python, R)
• Experience in schema design and dimensional data modeling
• 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, Superset, and Tableau skills preferred
• An eye for design when it comes to dashboards and visualization tools
• Familiarity with experimentation and machine learning techniques  

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

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.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$165,000—$208,500 USD

Apply now