Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 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 Community Support Platform team keeps our hosts and guests supported throughout the entire Airbnb experience. At its core, the CS Data Platform team provides the trusted data foundation and metrics for the most important data across offline and online consumption, empowering operations, analytics, engineering, product, and leadership teams with data they can trust.
The Difference You Will Make:
As a Senior Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical expertise to the team. We are looking for someone with hands-on experience in data modeling, metric development, and large-scale distributed data processing frameworks like Trino and Spark. Using these tools, along with first-class internal data tooling, you will scale product, business operations, analytics, and AI/ML team’s capabilities to unlock insights and make data driven decisions.
A Typical Day:
- Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering
- Develop frameworks and tools to scale insight generation to meet critical business and product requirements
- Design and implement metrics and dimensions to enable analysis and predictive modeling
- Design and develop dashboards or other data resources to enable self-serve data consumption
- Define logging needs and participate in architecture designs
- Collaborate and build strong partnerships with fellow Analytics Engineers, Data Scientists, Data Engineers, Product Engineers, and Business Partners
- Influence the trajectory of data in decision making
- Improve trust in our data by championing for data quality across the stack
- Define and share best practices on metric, dimension, and data model development for analytics use
Your Expertise:
- Passion for high data quality and scaling data science work
- 6+ years of relevant industry experience
- Strong skills in SQL and distributed system optimization (e.g. Spark, Trino, Hive)
- Experience in at least one programming language for data analysis (e.g. Python, R)
- Experience in schema design and dimensional data modeling
- Experience with Superset and/or Tableau
- Proven ability to succeed in both collaborative and independent work environments
- Detail-oriented and excited to learn new skills and tools
Nice to Have:
- Experience with an ETL framework like Airflow
- 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: [email protected]. 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.
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What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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