Airbnb Senior Analyst Advanced Analytics Real Estate 

United States 

571754520

A Typical Day:

• Data thought partner to product and business leaders, providing insights, recommendations, and enabling data-driven decisions.
  • Become an expert in Real Estate business domain and own data quality.
• Drive day to day analytics and create scalable data tools
  • 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.
  • Continue to enhance our understanding and measurement of the tools used by our partners, with a focus on driving higher host activation within partner buildings.
  • Work closely with Data Engineers, Analytics Engineers, Data Scientists and other cross functional teams to build a scalable and unified attribution and measurement platform for understanding impact of product, sales and marketing efforts.
  • Collaborate closely with Business Leads to design, implement, and assess offline experiments, including A/B tests and other quasi-experimental techniques.
  • Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Data Engineering to build data tools for mass consumptions within the A4RE team.
• Contribute towards advancing the Analytics and Data Science disciplines at Airbnb
  • Driving data best practices.
  • Building new data tools and data sets.
  • Expanding data education around the company and mentoring and developing other team members.

Your Expertise:

• 5+ years in industry experience and a degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous statistical analysis to inform business decision and communicate. conclusions to both technical and non-technical audiences.
• Experience partnering with internal teams to drive action and providing expertise and direction on analytics, experimental design, and measurement.
• Experience designing and building metrics, from conception to building prototypes with data pipelines.
• Strong knowledge in SQL and distributed system optimization (e.g. Spark, Presto, Hive).
• Expert in at least one programming language for data analysis (e.g. Python, R).
• Experience with Tableau strongly preferred.

Offices: United States