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Lead, Advanced Analytics, Product - job 1 of 2

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: 

Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.

The Difference You Will Make:

Airbnb is seeking a Lead, Advanced Analytics, to support our Host Product teams. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving product decisions across the host product surfaces and funnels. 

A Typical Day: 

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making.
  • Collaborate closely with Product, Engineering, Finance, Operations, Data Science, Advanced Analytics, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights.
  • Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
  • Design and build metrics / dimensions to monitor product and business performance.
  • Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
  • Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner.
  • Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques.

Your Expertise:

  • 6+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
  • Prior experience in an advanced analytics or product data science role.
  • Exceptional business acumen, strategic thinking skills, and the ability to conduct rigorous analysis and make informed judgments.
  • Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
  • Proven stakeholder management skills, with the ability to collaborate and influence across functions.
  • Experience partnering with product teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.
  • Experience in analysis of A|B experiments and statistical data analysis.
  • Experience designing and building metrics, from conception to building prototypes with data pipelines.
  • Strong expertise in at least one programming language (Python or R) and SQL.
  • An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

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
$157,000$188,000 USD
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Average salary estimate

$172500 / YEARLY (est.)
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$157000K
$188000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead, Advanced Analytics, Product, Airbnb

Airbnb is on the lookout for a Lead, Advanced Analytics, to join their talented team in the United States. As a pioneer in travel and hospitality, Airbnb has been transforming the way people connect for over a decade. In this role, you’ll play an essential part in supporting our Host Product teams by leveraging data to drive strategic decisions. Your day-to-day responsibilities will include analyzing large and complex data sets to uncover trends that can inform our business strategies. With your expertise in quantitative analysis, you will design and execute experiments to assess product features and contribute towards product enhancements while collaborating closely with cross-functional teams including Product, Engineering, and Data Science. Your analytical skills will empower stakeholders to make informed decisions through the design of metrics and automated reporting tools. You’ll also present your insights to senior leadership, ensuring that your findings shape our product direction. If you’re passionate about utilizing data to drive meaningful guest experiences and have a knack for problem-solving, then this Lead, Advanced Analytics position at Airbnb could be the perfect opportunity to showcase your skills and make a tangible difference in the travel industry.

Frequently Asked Questions (FAQs) for Lead, Advanced Analytics, Product Role at Airbnb
What are the main responsibilities of the Lead, Advanced Analytics at Airbnb?

The Lead, Advanced Analytics at Airbnb will focus on supporting Host Product teams through detailed data analysis and strategic initiatives. This role involves working with large datasets, designing experiments to measure feature impact, collaborating with various departments, and presenting findings to senior leadership to guide product decisions.

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What qualifications are needed for the Lead, Advanced Analytics position at Airbnb?

Candidates for the Lead, Advanced Analytics role at Airbnb should have over 6 years of relevant industry experience and possess a Master's or PhD in a quantitative field. It's essential to have skills in statistical analysis, experience with A|B testing, and proficiency in programming languages such as Python or R, along with SQL expertise.

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How does the Lead, Advanced Analytics contribute to product decisions at Airbnb?

The Lead, Advanced Analytics plays a critical role in driving product decisions at Airbnb by providing actionable insights derived from data analysis, designing and executing experiments, and building metrics that monitor product performance, all of which inform and shape product strategies.

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What kind of experience is beneficial for the Lead, Advanced Analytics role at Airbnb?

Experience in advanced analytics or product data science is crucial for the Lead, Advanced Analytics at Airbnb. Additionally, having a background in conducting rigorous analysis, strong stakeholder management, and the ability to influence cross-functional teams is beneficial for succeeding in this role.

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What are the growth opportunities for a Lead, Advanced Analytics at Airbnb?

Being a Lead, Advanced Analytics at Airbnb opens numerous growth opportunities. Employees can advance their careers by taking on more significant strategic projects, leading teams, or diving deeper into specialized analytics fields, all while contributing to an innovative and diverse workplace.

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Common Interview Questions for Lead, Advanced Analytics, Product
Can you describe your experience with statistical modeling?

Discuss specific projects where you have utilized statistical modeling, emphasizing the techniques you used, the data involved, and how your findings impacted business decisions, showing your understanding of both the technical and strategic aspects.

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How do you approach designing experiments to measure feature impact?

Explain your methodological approach to designing experiments, including defining the hypothesis, selecting appropriate control groups, and how you plan to analyze results to ensure actionable insights align with product goals.

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What tools and techniques do you prefer for data analysis?

Share the data analysis tools and techniques you are proficient in, such as Python, R, SQL, or specific visualization tools. Illustrate your experience with these tools through concrete examples of how they contributed to your projects.

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How do you ensure your insights are understandable to non-technical stakeholders?

Describe your approach to tailoring your communication style to various audiences, including how you simplify complex data representations and emphasize actionable insights, ensuring your recommendations are clear and impactful.

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How have you managed stakeholder relationships in your past roles?

Talk about specific instances where you collaborated with stakeholders, highlighting your methods for building relationships, addressing concerns, and how your insights helped guide their decisions.

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What is your experience with A|B testing?

Detail your hands-on experience with A|B testing, what methodologies you utilized, how you conducted the analysis, and any significant learnings or outcomes that resulted from your experiments.

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How do you stay updated with the latest trends in data analytics?

Share your strategies for continuous learning in the field of data analytics, whether through courses, conferences, following thought leaders, or engaging with professional communities, emphasizing how this knowledge impacts your work.

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Describe a challenging problem you solved using data analysis.

Provide a specific example of a complex problem, the analytical approach you used to tackle it, and the outcome. Emphasize both the technical skills you applied and the insights gained through your analysis.

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How do you prioritize data projects in a fast-paced environment?

Discuss your framework for prioritizing projects, including how you assess potential impacts, balance immediate business needs with long-term goals, and ensure alignment with organizational objectives.

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What experience do you have in designing and building metrics?

Elaborate on your experience in creating metrics from scratch, including the process of identifying key performance indicators (KPIs), developing data pipelines, and how you implemented these metrics to enhance decision-making.

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As a Data Scientist at Amplify, make a difference by driving educational advancements through data insights.

Airbnb is a leading online marketplace for short- and long-term homestays and experiences founded in 2008. We provide access to 6+ million unique places to stay in more than 81,000 cities and 191 countries worldwide.

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CULTURE VALUES
Mission Driven
Collaboration over Competition
Inclusive & Diverse
Growth & Learning
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Paid Time-Off
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 8, 2025

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