Senior Analyst Advanced Analytics

Airbnb

1d•$136,000 - $160,000•Remote

About The Position

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. We are looking for a Senior Analyst, Advanced Analytics role to help Airbnb unlock the next generation of hosts by normalizing and expanding hosting in Multifamily buildings. This role will sit under the Airbnb for RealEstate (A4RE) team and support our Product and Business Operations teams.

Requirements

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 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)

Nice To Haves

Experience with Tableau strongly preferred

Responsibilities

Data thought partner to product and business leaders, providing insights, recommendations, and enabling data-driven decisions.
Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices, building new data tools and data sets, expanding data education around the company and mentoring and developing other team members.
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