Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 6
Data Analysis
Data Engineering
Data Pipelines @ 4
Data Science @ 6
Hive @ 7
Marketing @ 4
Mathematics @ 6
Mentoring
Presto @ 7
Python
R
SQL @ 7
Spark @ 7
Statistics @ 6
Tableau @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
A Typical Day
- 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 understanding and measurement of the tools used by 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.
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 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.
Location
- US - Remote Eligible.
- The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
- While Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity (with an up-to-date list of excluded states provided via the Airbnb careers site).
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