Staff Analytics Engineer - Users & Contextualization Data & AI

Summary

Join Airbnb's Users and Contextualization Data & AI team as a Staff Analytics Engineer and build foundational datasets that provide valuable insights for the company and its Guest & Host community. Collaborate with cross-functional teams, including Product, Analytics, Data Scientists, and engineering teams. Design and develop high-quality data assets for internal and external use. Create robust pipelines, frameworks, tools, and dashboards to generate insights. Translate ambiguous data requirements into clear, efficient, and scalable deliverables. Present in-depth analyses to stakeholders and influence data-driven decision-making. Develop user data entities to deepen understanding of Guest & Host behavior and improve platform personalization. This role requires a high degree of autonomy and collaboration.

Requirements

• 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

Responsibilities

• 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

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits