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Staff Analytics Engineer, Trust

at Airbnb
šŸ“ United States
SENIOR
āœ… Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

MySQL @ 4 Python @ 6 Scala @ 6 SQL @ 6 Tableau @ 4 ETL @ 4 Airflow @ 4 Data Science @ 4 Communication @ 7 Data Engineering @ 7 PostgreSQL @ 4

Details

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.

Responsibilities

  • 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

Requirements

  • 9+ years of 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
  • 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 such as 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 ability to troubleshoot complex data issues

Benefits

  • Base pay range $194,000 — $240,000 USD
  • This role may be eligible for bonus, equity, benefits, and Employee Travel Credits
  • Remote eligible position with possible occasional attendance at Airbnb offices or offsites as agreed with manager