Lead, Advanced Analytics, AirCover

Details

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.

Community You Will Join

We are seeking a highly skilled and experienced professional to join our team as an AirCover Advanced Analytics Lead Analyst. In this role, you will play a critical part in guiding the strategic direction of Airbnb's AirCover operations.

This role is responsible for driving data-informed decision-making across the AirCover operations, business, and product teams. The AirCover team is responsible for ideating, building, launching, and managing the AirCover business. We have a huge responsibility to our community of Hosts and guests to be there when things don’t go exactly as planned with their reservations. We are looking for someone who will help us deliver best-in-class services to our community by generating insights and helping the team make data-informed decisions. Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to improve the customer experience. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals.

The Difference You Will Make

• Identify and solve complex problems and customer pain points within the AirCover domain using data and analytical techniques, adding new perspectives to existing solutions and driving data-informed business decisions.
• Build and analyze analytical frameworks, models, and experimentation methods to establish and communicate causal relationships.
• Use complex data and insights to frame narratives and help leaders make data-informed decisions.
• Identify and guide opportunities to create impact for key projects at the eTeam direct level by influencing strategy and roadmap.

Responsibilities

• Work closely with Product and Operations leads to design, execute and evaluate launches using techniques such as A/B tests and causal inference. Provide guidance for cross-functional teams on learnings from launches and how to improve the product and experience for our customers.
• Empower Operations and Product partners to answer data questions quickly by providing data tools, data literacy, and guidance on how to use data and data products in their work.
• Build metrics, dashboards, and data sets that drive AirCover OKRs and uncover insights to improve the user experience.
• Collaborate closely with cross functional teams such as product, operations and engineering to build metric and logging specifications that can be used to develop metrics and dashboards for our partners.
• Work closely with operations and product teams to prioritize and deliver ad-hoc data requests to drive business value.
• Work with leadership to create and deliver strategic analytics roadmap.
• Communicate regular updates to senior leadership and stakeholders.
• Utilize and build AI tools that can be leveraged by yourself and stakeholders to accelerate time to insights.

Requirements

• 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).
• Experience supporting Operation teams and/or have worked closely in that space.
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).
• Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting.
• Working knowledge of schema design and high-dimensional data modeling; experience with ETL best practices.
• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision.
• Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.
• Ability to drive data strategies that can be leveraged to increase data literacy and insights for your stakeholders.
• Knowledge and experience in insurance industry – a plus.
• Knowledge and experience in customer experience measurement – a plus.

Location & Work Arrangement

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. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

How We'll Take Care of You / Compensation

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$157,000—$185,000 USD

Inclusion & Accessibility

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led 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: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.