Lead Advanced Analytics CS Aircover
Lead Advanced Analytics CS Aircover
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Salary Not Disclosed
1 Vacancy
Job Description
The Community You Will Join:
We are looking for an Advanced Analytics lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our Aircover and Insurance organization.
The Difference You Will Make:
- Data thought partner to product and business leaders across marketplace teams through providing insights recommendations and enabling data informed decisions.
- Drive day to day product analytics and create scalable data tools
- Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest and host community
A Typical Day:
- Build metrics and dimensions in data warehouse to support business decisions
- Working closely with Product Managers and Business leads to design execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations.
- Define how to best measure the performance of Airbnb product and business through new metrics and dimensions. Align with stakeholders understand tradeoffs and guardrails prototype metrics through custom data pipelines.
- Empower the team to answer data questions quickly and easily by building highquality ground truth data sets and dashboards. Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build data tools for mass consumptions within Airbnb.
Your Expertise:
- 5 years in industry experience and a degree (Masters or PhD is a plus) 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 crosscultural and crossfunctional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and nontechnical audiences
- Experience partnering with internal teams to drive action and providing expertise and direction on analytics data science experimental design and measurement
- Experience in analysis of AB experiments and statistical data analysis
- Experience designing and building metrics from conception to building prototypes with data pipelines
- Strong knowledge in at least one programming language (Python or R) and in SQL
- Ability to drive data strategies with a central source of truth to impact business decisions
- Knowledge and experience in insurance industry a plus
- Knowledge and experience in customer experience measurement a plus
Your 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. Click here for the uptodate list of excluded states. This list is continuously evolving so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement and allow us to attract creativelyled people and to develop the best products services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application please contact us at: . Please include your full name the role youre applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Employment Type
Full Time
