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Senior Analytics Engineer, Guest & Host

Airbnb LogoAirbnb
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Salary

Pay Range: $174,000—$213,500 USD

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.

The Marketplaces & Intelligence Data & AI team is looking for a Senior Analytics Engineer to join our team. The team provides rich, high-quality data assets to power insights that enable Airbnb and our hosts to be competitive in our marketplaces. The team is composed of Engineers specializing in Data, Analytics, Backend and Machine Learning, and we work closely with a wide range of teams across the company, including Data Science, Strategic Finance, Sales Operations, and Product Engineering in order to see our work through to business impact. One key partner you will be supporting is the Policy and Communications team, for whom extremely high fidelity, external data is critical for their work.

The Difference You Will Make:

As a Senior 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
  • Be resourceful in identifying and importing external data sets that help answer business questions
  • 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
  • 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

Your Expertise:

  • 5+ years of experience experience in Analytics Engineering, Data Science, Data Engineering, or similar field
  • Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
  • Expertise in working with geospatial / geolocation 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

Nice to have:

  • Experience providing high-quality reports for external stakeholders (bonus points for working with geopolitical regulatory bodies)
  • Experience influencing large organizations on technology or architecture direction
  • Experience collaborating with ML engineers to develop and productionize models
  • Side projects or open source contributions to data frameworks and tooling

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