Lead, Advanced Analytics, Blueprint

United States

Airbnb

Get an Airbnb for every kind of trip → 7 million vacation rentals → 2 million Guest Favorites → 220+ countries and regions worldwide

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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.

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 CS organization. 

The Difference You Will Make:

  • Act as a data thought partner to business & product leaders across various teams through providing insights, recommendations, and enabling data informed decisions  
  • Drive day to day analytics and create scalable data tools
  • Identify pain points in traveling and hosting and work with business & product leadership to improve experiences for our guest, host and agent community

You will be joining a team focused on ensuring our customers have a seamless experience with Airbnb, ensuring that any features driving a need for customer contacts are prevented from launching and that any existing issues are identified and corrected. You will help surface and understand gaps in our policy, product, and services that are customer impacting and work with cross-functional partners to drive awareness and ultimately fixes. You may be a good fit if:

  • You are passionate about solving complex problems within the Community Support domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
  • You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships
  • You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey

A Typical Day:

  • Work closely with Business Leaders and Product Managers 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.
  • Build, maintain, and grow business insight & reporting platforms to monitor changes to key Airbnb success metrics. Determine root cause drivers and work with teams across the company to explain impacts and recommend improvements.
  • Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with cross-functional partners to leverage this information into actionable insights.

Your Expertise:

  • A minimum of 5+ 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). 
  • Have experience supporting community support and/or have 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. You can identify issues both within and outside of your immediate scope, and propose solutions.

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$157,000—$185,000 USD
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Tags: A/B testing Airflow Business Analytics Causal inference Computer Science Data analysis Data pipelines Econometrics Engineering ETL Machine Learning Mathematics PhD Pipelines Python R Research SQL Statistics

Perks/benefits: Career development Salary bonus Startup environment

Region: North America
Country: United States

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