Operations Analyst Lead

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: 

Every day, Airbnb hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Since our founding, more than 5 million hosts have welcomed over 1.5 billion guest arrivals in almost every country across the globe.

The Scaled Operations team at Airbnb helps increase supply effectiveness, utilization, and impact using people-powered operations. The Analytics function within Scaled Operations serves as a strategic thought partner to leadership, enabling data-driven decision-making through high-impact insights, robust reporting infrastructure, and scalable data solutions. We operate across a wide range of ambiguous, evolving problems with urgency, autonomy, and a commitment to driving business results.

The Difference You Will Make:

As Operations Analyst Lead, you will lead high-priority analytical initiatives that help shape Airbnb’s supply-side strategy and operational performance. You’ll work independently to design scalable data products, generate critical business insights, and solve complex challenges that inform how we support and grow our community of HostsYou’ll partner with stakeholders across Product, Policy, Support, and Strategy to translate ambiguous business questions into clear, data-driven recommendations. Your expertise in operational analytics, judgment in trade-off decisions, and ability to deliver structured, thoughtful outputs will make you a trusted contributor across multiple domains.

A Typical Day: 

  • Build dashboards, reporting frameworks, and data models that drive visibility into performance and guide decision-making across supply operations.
  • Lead analytical deep dives to uncover insights that influence operational strategy, identify risks, or size new opportunities.
  • Collaborate with cross-functional stakeholders to align on key metrics and implement scalable solutions to improve data integrity and reporting workflows.
  • Translate business objectives into clear problem statements and propose solutions through rigorous quantitative analysis.
  • Communicate insights through presentations, memos, and visualization tools to influence decisions at various levels of the organization.
  • Mentor junior analysts and provide thought partnership across the broader analytics team.
  • Proactively identify areas for operational improvement and contribute to experimentation and policy iteration processes.
  • Participate in the evolution of Scaled Operations' analytics roadmap, contributing to the team's long-term planning and technical development.

Your Expertise:

  • 10+ years of experience in analytics, strategy, business operations, or consulting, ideally in a tech-enabled or operational environment.
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics); advanced degree a plus.
  • Strong command of SQL and data visualization tools (e.g., Tableau, Looker); working knowledge of Python or R preferred.
  • Proven ability to navigate large and complex datasets to deliver clear, actionable insights.
    Experience solving business problems using structured thinking and sophisticated analytical approaches.
  • Strong written and verbal communication skills with the ability to convey complex topics in a compelling and concise way.
  • High degree of autonomy and accountability; comfortable leading projects with minimal guidance.
  • Demonstrated ability to influence without authority and collaborate effectively across functions.
  • Deep connection to Airbnb’s mission of creating a world where anyone can belong anywhere.

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. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list  If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

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.

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: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

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$154,000—$192,000 USD
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Tags: Computer Science Consulting Data visualization Economics Engineering Looker Python R SQL Statistics Tableau

Perks/benefits: Career development Salary bonus

Region: North America
Country: United States

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