Staff Analytics Engineer, Trust
The Community You Will Join:Everyone at Airbnb thinks about trust, but our team obsesses over it daily. The Trust organization is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards.The Difference You Will Make:As a Staff Analytics Engineer, you will work in a team of engineers with diverse expertise to build foundational data sets that power insights for the company and our host community. You will be operating with a high level of autonomy, collaborating directly with product, business partners, and peer engineering teams to align on requirements and execute effectively. You will review the designs and work of engineers on the team, and set a high bar for quality. You will also work closely with data scientists and economists to identify data sources and structure for foundational data sets.A Typical Day:
- Architect and develop high quality data assets for product and analytics use cases, as well as for sharing with external partners
- Collaborate and build relationships with partners including backend/client, data science, analytics, and ML
- Develop frameworks, tools, and dashboards to scale insight generation to meet critical business, product, and regulatory requirements
- Translate ambiguously expressed data requirements into efficient, scalable, and impactful deliverables.
- Present product and technical deep dives to key stakeholders
- Influence the trajectory of data in decision making
- Improve trust in our data by championing for data quality across the stack
- 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
- An ability to navigate metric and data considerations in the Trust domain, including uncertain risk assessment and late-landing signals.
- 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