Lead, Advanced Analytics, Community Support

Airbnb, Inc.; San Francisco (CA); Hybrid; USD 164,000 - 191,000; Full time

Job summary

Airbnb, Inc. in San Francisco is seeking an Advanced Analytics Lead to empower product and operations decisions for Community Support.

You will lead data-driven roadmaps, build scalable analytics tools, and partner with product, engineering, and operations to measure and improve guest, host, and agent experiences. You will design and execute causal inference studies, develop dashboards, and translate complex data into clear narratives that influence leadership.

Qualifications

• 8+ years of industry experience in business analytics.
• Experience supporting customer service and operations teams.
• Expert in SQL and at least one data-analysis language (Python or R).
• Experience with causal inference, experimentation, and ML in a multi-sided platform.
• Knowledge of schema design and high-dimensional data modeling (ETL like Airflow).
• Ability to navigate ambiguity in a fast-growth environment and influence decisions.

Responsibilities

• Lead data-driven roadmaps for CS working groups with actionable, data-backed solutions.
• Build analytics and reporting platforms to monitor behavior and product interfaces across CS.
• Model data entities and optimize community and agent experiences using appropriate tools.
• Define and evaluate metrics for new product launches and explain drivers behind them.
• Influence cross-vertical decisions through reviews, scorecards, and self-serve analytics.
• Lead experimentation and measurement strategies, including power analyses and causal inference.

Skills

SQL

Python

R

Causal inference

Experimentation

Machine learning

Data storytelling

Data modeling

Education

Master's or PhD in a quantitative field

Tools

Airflow

ETL design

Job description

Lead, Advanced Analytics, Community Support

United States

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.

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: [e-mail] . 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.

Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.

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.