Staff Analytics Engineer - Users & Contextualization Data & AI

The Community You Will Join:

The Users and Contextualization Data & AI team, a vital part of the Users, Listing, & Platform Data team, focuses on building foundational data and systems to provide Airbnb teams with a deeper understanding of key domains. Specifically, this team concentrates on user data (Guest & Host), aiming to create high-quality, rich, and well-governed user data and insights. These insights are crucial for enabling personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately helping Airbnb better understand and serve its users throughout their journey.

The Difference You Will Make:

As a Staff Analytics Engineer, you will be a key contributor to building foundational datasets that provide insights for the company and our Guest & Host community. This role requires a high degree of autonomy, as you will directly collaborate with Product, Analytics, Data Scientists, and peer engineering teams to define requirements and execute effectively.

Your responsibilities will include:

• Identifying gaps and opportunities with stakeholders and understanding their needs.
• Setting the team's roadmap.
• Driving alignment on improving and adopting data quality within the Users domain.
• Mentoring and reviewing designs and work of engineers on the team, while setting a high bar for quality.

• Design and develop high-quality data assets for internal product and analytics use cases, as well as for external partners.
• Foster strong collaborative relationships with cross-functional teams including backend/client, data science, analytics, and machine learning.
• Partner with product and engineering teams to enhance product usage measurement through improved logging practices.
• Create robust pipelines, frameworks, tools, and dashboards to efficiently generate insights that meet critical business, product, and regulatory requirements.
• Translate ambiguous data requirements into clear, efficient, scalable, and impactful deliverables.

• Present in-depth product and technical analyses to key stakeholders.
• Influence the strategic direction of data-driven decision-making within the organization.
• Develop user data entities at Airbnb to deepen understanding of Guest & Host behavior and improve platform personalization.

Your Expertise:

• 9+ years of experience experience in Analytics Engineering, Data Science, Data Engineering, or similar field
• Expertise in SQL and proficiency in at least one data engineering language, such as Python or Scala
• Expertise creating metrics, evaluating effectiveness of defenses - ex: rules and ML models utilizing evaluation and experiment data.
• Experience with Tableau and data visualization tools generally
• Experience with an ETL framework like Airflow
• Excellent communication skills with a history of strong collaborations with technical and non-technical partners
• Expertise with data warehousing and modeling. Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Strong problem-solving skills and the ability to troubleshoot complex data issues

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.