Airbnb Logo

Airbnb

Lead, Advanced Analytics, Community Support

Posted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
164K-191K Annually
Senior level
Remote
Hiring Remotely in United States
164K-191K Annually
Senior level
Lead analytics partner to Community Support, driving data-driven roadmaps, scalable reporting and measurement, causal inference and experimentation, and improvements to agent/guest/host experiences via analytics, modeling, and stakeholder influence.
The summary above was generated by AI

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:

  • Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions  
  • Drive day to day analytics and create scalable data tools
  • Identify pain points in customer support operations and work with product leadership to improve experiences for our guest, host and agent community

In addition, you will 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. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb’s community safe and trusted. 

  • 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: 

  • Lead and drive data-driven roadmaps for the CS working groups. Recommend actionable solutions backed by data and metrics to product problems, with the ability to effectively communicate with Product, Operations & Engineering managers of varying technical levels
  • Build the business insights & reporting platform to detect and support the driving efficacy and efficiency of  behaviors and product interfaces and processes across CS platform and contact center network 
  • Perform data modeling of the various entities and using tools & frameworks for optimizing community and agent experiences 
  • Defining and evaluating key metrics in an unstructured problem space including measurement of new product launches. Communicating a robust understanding of what moves these metrics and why
  • Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
  • Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space

Your Expertise:

  • A minimum of 8+ 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 customer service 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.
  • Ability to pushback, influence and draw attention to what moves the needle the most based on data and insights.

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: [email protected]. 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
$164,000$191,000 USD

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.


Airbnb Los Angeles, California, USA Office

Los Angeles, United States

Similar Jobs

2 Minutes Ago
Easy Apply
Remote or Hybrid
Illinois, USA
Easy Apply
90K-129K Annually
Junior
90K-129K Annually
Junior
Cloud • Information Technology • Security • Software • Cybersecurity
The Account Executive will build relationships with executive stakeholders, develop long-term account strategies, collaborate cross-functionally, and advise customers on aligning Zscaler’s cloud security solutions with business goals. The role requires full-cycle software or security sales experience, strategic account planning, customer engagement, and the ability to close new business through direct and channel sales.
Top Skills: Ai ToolsCloud SecuritySaseZscaler Zero Trust Exchange
2 Minutes Ago
Remote
USA
165K-220K Annually
Senior level
165K-220K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead enterprise eDiscovery and insider-risk investigations by collecting, preserving, analyzing, and reviewing data from cloud infrastructure, endpoints, and repositories. Build AI-powered automation, correlate activity logs into investigative timelines, manage legal holds and governance policies, support digital forensics, and produce structured evidence packages for Security, Legal, HR, and investigative teams.
Top Skills: Ai AutomationCloud Audit LogsData Classification And Labeling TechnologiesDigital Forensics SoftwareEdiscovery PlatformsEs/QlGoPythonSIEMSQL
9 Minutes Ago
Remote
United States
158K-213K Annually
Senior level
158K-213K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own Dropbox’s customer evidence program, including customer advocacy, case studies, ROI studies, testimonials, peer reviews, and competitive proof. Set editorial standards, direct agency partners, manage the sales content library, deploy evidence into active enterprise deals, and measure its impact on pipeline, win rates, adoption, and sales-cycle velocity. Partner with Sales, Customer Success, Marketing Operations, and product teams to prioritize evidence and report performance.
Top Skills: DeetoDocsendG2HighspotSalesforceSeismic

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account