

Airbnb
Lead Analyst, Advanced Analytics (contract)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Analyst, Advanced Analytics (contract) with a pay rate of $75-$85/hr, requiring 5+ years in business analytics, expert SQL, and programming skills (Python or R). Knowledge in the insurance industry is a plus.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
-
ποΈ - Date
November 18, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
San Francisco, CA
-
π§ - Skills detailed
#AI (Artificial Intelligence) #Programming #Python #ML (Machine Learning) #A/B Testing #"ETL (Extract #Transform #Load)" #Mathematics #Schema Design #Computer Science #Data Science #Logging #SQL (Structured Query Language) #Statistics #Data Analysis #R #Data Modeling #Leadership
Role description
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 more than 100, 000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way.
Airbnb was born with a creative spirit, and itβs one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:
β’ Our community is based on connection and belonging.
β’ Our creativity allows us to imagine new possibilities for people.
β’ Our responsibility is to all of our stakeholders.
β’ It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company.:
Responsibilities:
β’ 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.
β’ Build metrics, dashboards, and data sets that drive AirCover OKRs and uncover insights to improve the user experience.
β’ 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.
β’ 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.
β’ Communicate regular updates to senior leadership and stakeholders.
β’ Work with leadership to create and deliver strategic analytics roadmap.
β’ Work closely with operations and product teams to prioritize and deliver ad-hoc data requests to drive business value.
β’ Utilize and build AI tools that can be leveraged by yourself and stakeholders to accelerate time to insights.
Requirements:
β’ 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).
β’ Experience supporting Operation teams and/or have worked closely in that space.
β’ Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).
β’ Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting.
β’ Working knowledge of schema design and high-dimensional data modeling; experience with ETL best practices.
β’ 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.
β’ 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.
β’ Ability to drive data strategies that can be leveraged to increase data literacy and insights for your stakeholders.
β’ Knowledge and experience in insurance industry β a plus
β’ Knowledge and experience in customer experience measurement β a plus
Education:
Degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Belonging & Accommodations:
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner.
Pay Rate Range: $75-$85hr
Benefits: Medical, Dental, Vision, 401K
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 more than 100, 000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way.
Airbnb was born with a creative spirit, and itβs one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:
β’ Our community is based on connection and belonging.
β’ Our creativity allows us to imagine new possibilities for people.
β’ Our responsibility is to all of our stakeholders.
β’ It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company.:
Responsibilities:
β’ 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.
β’ Build metrics, dashboards, and data sets that drive AirCover OKRs and uncover insights to improve the user experience.
β’ 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.
β’ 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.
β’ Communicate regular updates to senior leadership and stakeholders.
β’ Work with leadership to create and deliver strategic analytics roadmap.
β’ Work closely with operations and product teams to prioritize and deliver ad-hoc data requests to drive business value.
β’ Utilize and build AI tools that can be leveraged by yourself and stakeholders to accelerate time to insights.
Requirements:
β’ 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).
β’ Experience supporting Operation teams and/or have worked closely in that space.
β’ Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).
β’ Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting.
β’ Working knowledge of schema design and high-dimensional data modeling; experience with ETL best practices.
β’ 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.
β’ 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.
β’ Ability to drive data strategies that can be leveraged to increase data literacy and insights for your stakeholders.
β’ Knowledge and experience in insurance industry β a plus
β’ Knowledge and experience in customer experience measurement β a plus
Education:
Degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Belonging & Accommodations:
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner.
Pay Rate Range: $75-$85hr
Benefits: Medical, Dental, Vision, 401K






