Welcome to Airbnb: A Global Community of Travelers and Hosts
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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. As a leader in the travel industry, Airbnb is committed to creating a world where anyone can belong anywhere.
About the Role: Staff, Advanced Analytics, Community Support
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 CS organization. As a key member of our team, you will drive data-driven decisions, build scalable data tools, and identify pain points in traveling and hosting to improve experiences for our guest, host, and agent community.
The Difference You Will Make:
- Serve as a data thought partner to product and business leaders across teams, providing insights, recommendations, and enabling data-informed decisions
- Drive day-to-day analytics and create scalable data tools to support business growth
- Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest, host, and agent community
- Leverage Airbnb's rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization
- Collaborate with a strong team of engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals and help keep Airbnb's community safe and trusted
A Typical Day:
As a Staff, Advanced Analytics, Community Support, your day will be filled with exciting challenges and opportunities. Some of your key responsibilities will include:
- Leading and driving data-driven roadmaps for the CS working groups, recommending actionable solutions backed by data and metrics to product problems
- Building the business insights and reporting platform to detect and support the driving efficacy and efficiency of behaviors and product interfaces and processes across the CS platform and contact center network
- Performing data modeling of the various entities and using tools and frameworks for optimizing community and agent experiences
- Defining and evaluating key metrics in an unstructured problem space, including measurement of the ML models that drive product development, and communicating a robust understanding of what moves these metrics and why
- Influencing data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs, and planning among others
- Influencing experimentation and measurement strategies, conducting power analyses, defining exit criteria, and using statistical models to improve inference
Your Expertise:
To be successful in this role, you will need:
- A minimum of 10+ years of industry experience in business analytics 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 community support and/or having worked closely with operations teams
- 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 (ETL framework like Airflow)
- Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment, comfortable acting with minimal planning, direction, and supervision
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.
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 creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.
How We'll Take Care of You:
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: $172,000 - $243,000 USD
Career Growth Opportunities and Learning Benefits:
At Airbnb, we are committed to the growth and development of our employees. As a Staff, Advanced Analytics, Community Support, you will have access to a wide range of training and development opportunities, including:
- Professional development courses and workshops
- Mentorship programs
- Opportunities to attend industry conferences and events
- Access to a wide range of online learning resources
Work Environment and Company Culture:
Airbnb is a dynamic and fast-paced work environment that is committed to innovation and creativity. Our company culture is built around the values of community, inclusivity, and belonging. As an employee, you will be part of a global community of talented and passionate individuals who are dedicated to making a positive impact on the world.
Conclusion:
If you are a motivated and experienced analytics professional who is passionate about using data to drive business decisions, we encourage you to apply for this exciting opportunity. As a Staff, Advanced Analytics, Community Support, you will be part of a talented team of professionals who are dedicated to making a positive impact on the world. Don't hesitate to apply - we can't wait to hear from you!
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