Senior Analytics Engineer, Airbnb

• 5+ years of relevant industry experience with a BS/Masters, preferably in CS, or 2+ years with a PhD
• Passion for high data quality and scaling data science work
• Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hive)
• Experience in at least one programming language for data analysis (e.g. Python, R)
• Experience in schema design and dimensional data modeling
• Proven ability to succeed in both collaborative and independent work environments
• Detail oriented and excited to learn new skills and tools

Desirable

• Analytics Engineers build the data foundation for reporting, analysis and experimentation. We are looking for someone with expertise in metric development, data modeling, SQL, Python, and distributed data processing frameworks like Presto or Spark.
• Using these tools, along with first-class internal data tooling, you will transform data from data warehouse tables into critical data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and empower downstream data consumers
• As an Analytics Engineer within our Guest & Host org, you will sit at the intersection of Data Science and Engineering. You’ll focus on crucial initiatives across a wide range of product surfaces such as messaging, notifications, and co-hosting
• Data can transform how a company operates; high data quality and tooling is the biggest lever to achieving that transformation. You will make that happen
• Understand data needs by interfacing with fellow Analytics Engineers, Data Scientists, Data Engineers, and Business Partners
• Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
• Design, define, and implement metrics and dimensions to enable analysis and predictive modeling
• Become a data expert in your business domain and own data quality
• Build tools for auditing, error logging, and validating data tables
• Build and improve data tooling in partnership with internal Data Platform teams
• Define logging needs in partnership with Data Engineering
• Design and develop dashboards to enable self-serve data consumption
• Provide analytics support to make Airbnb headliner launches success