About this role
Managing risk while meeting regulatory compliance requirements for guest and host interactions is the primary challenge addressed by this team. The Analytics Centre of Excellence in India acts as a knowledge hub providing data-driven solutions across multiple business functions, and this specific position sits within the Fraud and Safety Delivery team. The person selected will build advanced analytical capabilities, define metrics using rich platform data, and partner with product and business leaders to shape strategy.
Day-to-day responsibilities involve setting quarterly project roadmaps, performing data modeling for entities like customers and cases, and executing root cause analyses to solve operational bottlenecks. Success in the role requires an analytical mindset capable of blending internal and external data sources to ensure data integrity. Ideal candidates bring significant quantitative experience and a proven track record of delivering end-to-end data projects that generate measurable business impact.
What you will do
- Collaborate with technical and business teams to develop robust insights, create data narratives, and define key metrics using platform data.
- Set a roadmap for projects up to a quarter ahead while delivering updates to business stakeholders and analytics management against agreed timelines.
- Ensure data quality and integrity for reporting by blending internal and external data sources in partnership with global and local operations functions.
- Perform data modeling for customers, hosts, cases, and agents using modern data tools to establish a solid analytical foundation.
- Execute ad-hoc reporting and root cause analyses covering policy incubation, enforcement efficacy, agent efficiency, and staffing optimization.
- Devise business metric frameworks and optimization models to support arguments regarding product, operations, and policy issues.
- Influence machine learning models alongside data science and engineering teams to automate policy enforcement decisions.
What you need
- Possess at least six years of professional industry experience in a relevant quantitative domain.
- Hold an advanced degree, such as a Master's or PhD, in Business Analytics, Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
- Demonstrate advanced level proficiency in SQL and NoSQL along with programming languages including Python, R, or SAS.
- Bring intermediate level knowledge of data foundations and databases such as Presto, Hive, Teradata, and Spark.
- Show advanced proficiency in statistical and machine learning techniques alongside BI platforms like Tableau for report and dashboard development.
- Exhibit strong communication and collaboration skills to work effectively across cultural and functional teams.
- Maintain a proven track record of delivering full-stack data projects from inception to tangible business impact.
Nice to have
- Knowledge and experience in Fraud and Safety operations, systems, and tools
Benefits
- Bonus or incentives
- Equity programs
- Employee benefits
- Employee Travel Credits
Skills and tech stack
Questions candidates ask
What is the location and salary range for this role?
The position is based in Bangalore, India, within the Analytics Centre of Excellence. The annualized base pay range in India is from ₹1,960,000 to ₹2,800,000 INR, subject to factors like training and market demands.
What team will I be joining?
You will join the India Analytics team supporting the Fraud and Safety Delivery team within the Advanced Analytics family. This group works alongside product and business leaders across marketplace teams.
What technologies and tools are used in this position?
The tech stack includes SQL, NoSQL, Python, R, SAS, Presto, Hive, Teradata, Spark, and Tableau. Analysts also leverage Airbnb's machine learning infrastructure and central data science tools.
How can I protect myself from recruitment scams during the hiring process?
Open roles are posted exclusively on the Airbnb Careers page, and legitimate recruiters correspond only from official company email domains. Recruiters will never ask for sensitive financial information, passport details, or payment fees.