Staff Analytics Engineer - Users & Contextualization Data & AI

Salary

$194,000—$240,000 USD

Location

US - Remote Eligible

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 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.

A Typical Day:

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

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