

Airbnb
Advanced Analyst (contract)
β - Featured Role | Apply direct with Data Freelance Hub
This role is an Advanced Analyst (contract) for 6 months, paying $70-$85/hour, remote. Key skills include Advanced SQL, data visualization (Tableau/Superset), and experience in operations analytics. A degree in a quantitative field is highly preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
-
ποΈ - Date
February 14, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
San Francisco, CA
-
π§ - Skills detailed
#BI (Business Intelligence) #Scala #Data Science #Tableau #ML (Machine Learning) #Data Analysis #Monitoring #SQL (Structured Query Language) #Forecasting
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.
The Team
Weβre hiring a data scientist/advanced analyst within the Fraud & Safety Organization (FSO) to support Product, Operations, and Policy leaders. The FSO Advanced Analytics team drives data-informed decision-making to protect trust across the platform by embedding measurement, experimentation, and insights into product defenses and user journeys.
Youβll partner with product managers, engineers, data scientists, and operations teams to design scalable systems that detect and mitigate fraud across domains. Youβll shape trusted user journeys across pre-trip, on-trip, and post-trip experiences, build compelling data narratives, and strengthen measurement and experimentation practices using Airbnbβs rich data and ML infrastructure.
The Fraud & Safety Operations Analytics team is looking for an operations data analyst with a strong delivery record of working with several data sources for identifying, analyzing, visualizing and interpreting trends for solving high priority business problems. In this role, you will support the Fraud & Safety Investigation operations team to drive impactful results for Airbnb, and be involved in the end-to-end project lifecycle right from problem definition to creating dashboards for sharing insights.
You will:
β’ Enable faster turnaround on operational metrics, reporting, and experiment readouts
β’ Strengthen detection, review efficiency, and enforcement visibility
β’ Support high-priority fraud and abuse operations analytics with immediate execution bandwidth
β’ Partner with Ops, Product, and DS to translate findings into actions
β’ Understand where the system is leaking (Entry β Detection β Review β Enforcement β Appeal analysis)
β’ Ensure the support org is running effectively at scale
β’ Connect ops actions to risk outcomes - Fraud Loss and Risk Monitoring
β’ Validate whatβs working through experimentation and initiative measurement
β’ Governance and metric hygiene - Define, create and visualize metrics / dashboards for problem definition for tracking project success/workstream health.
β’ Build strong relationships and trust with stakeholders, keeping them and their teams engaged in the project
Requirements:
β’ 5+ years in an ops data analyst or similar role in a high throughput organization
β’ High proficiency in Advanced SQL developing queries
β’ Experience building full workflow/funnel metric suits (in Customer Support/Operations a plus)
β’ Working knowledge and understanding of Forecasting techniques, Experiments, Causation & Correlation, and Statistical models
β’ Experience with Superset, Tableau, or similar BI platform (e.g. Salesforce) to develop reports and dashboards
β’ Ability to work independently with stakeholders, write requirements, and solve analytical problems in fast-paced, ambiguous environments
β’ Able to serve as a liaison between business and technical teams (e.g. AE/DE, Eng) to drive effective, timely solutions, insights to actions, that fulfill both strategic and operational needs
β’ Able to team effectively with others and build relationships at all levels, both within the team and with stakeholders
Highly Preferred:
β’ Experience in Operations or Customer Support teams analytics
β’ Undergrad degree or better in a quantitative field
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: $70-$85/hour.
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.
The Team
Weβre hiring a data scientist/advanced analyst within the Fraud & Safety Organization (FSO) to support Product, Operations, and Policy leaders. The FSO Advanced Analytics team drives data-informed decision-making to protect trust across the platform by embedding measurement, experimentation, and insights into product defenses and user journeys.
Youβll partner with product managers, engineers, data scientists, and operations teams to design scalable systems that detect and mitigate fraud across domains. Youβll shape trusted user journeys across pre-trip, on-trip, and post-trip experiences, build compelling data narratives, and strengthen measurement and experimentation practices using Airbnbβs rich data and ML infrastructure.
The Fraud & Safety Operations Analytics team is looking for an operations data analyst with a strong delivery record of working with several data sources for identifying, analyzing, visualizing and interpreting trends for solving high priority business problems. In this role, you will support the Fraud & Safety Investigation operations team to drive impactful results for Airbnb, and be involved in the end-to-end project lifecycle right from problem definition to creating dashboards for sharing insights.
You will:
β’ Enable faster turnaround on operational metrics, reporting, and experiment readouts
β’ Strengthen detection, review efficiency, and enforcement visibility
β’ Support high-priority fraud and abuse operations analytics with immediate execution bandwidth
β’ Partner with Ops, Product, and DS to translate findings into actions
β’ Understand where the system is leaking (Entry β Detection β Review β Enforcement β Appeal analysis)
β’ Ensure the support org is running effectively at scale
β’ Connect ops actions to risk outcomes - Fraud Loss and Risk Monitoring
β’ Validate whatβs working through experimentation and initiative measurement
β’ Governance and metric hygiene - Define, create and visualize metrics / dashboards for problem definition for tracking project success/workstream health.
β’ Build strong relationships and trust with stakeholders, keeping them and their teams engaged in the project
Requirements:
β’ 5+ years in an ops data analyst or similar role in a high throughput organization
β’ High proficiency in Advanced SQL developing queries
β’ Experience building full workflow/funnel metric suits (in Customer Support/Operations a plus)
β’ Working knowledge and understanding of Forecasting techniques, Experiments, Causation & Correlation, and Statistical models
β’ Experience with Superset, Tableau, or similar BI platform (e.g. Salesforce) to develop reports and dashboards
β’ Ability to work independently with stakeholders, write requirements, and solve analytical problems in fast-paced, ambiguous environments
β’ Able to serve as a liaison between business and technical teams (e.g. AE/DE, Eng) to drive effective, timely solutions, insights to actions, that fulfill both strategic and operational needs
β’ Able to team effectively with others and build relationships at all levels, both within the team and with stakeholders
Highly Preferred:
β’ Experience in Operations or Customer Support teams analytics
β’ Undergrad degree or better in a quantitative field
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: $70-$85/hour.
Benefits: Medical, Dental, Vision, 401K






