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Salary: INR 1,960,000 - 2,800,000 / annual
Airbnb's Analytics Centre of Excellence (ACOE) in India is seeking a Senior Advanced Analyst to join the Fraud & Safety Investigations team. This role is part of the Advanced Analytics family and will support product and business leaders within the Fraud & Safety organization, serving as a trusted partner in providing data-driven insights and recommendations across marketplace teams.
In this role, you will work with technical and business teams to develop robust insights, create data narratives, and define metrics leveraging Airbnb's rich data ecosystem. You'll build advanced analytical capabilities and tools to solve complex problems, bringing new perspectives to existing solutions. You'll collaborate with engineers, product managers, designers, and operations teams to achieve cross-functional goals while developing a deep understanding of how guests and hosts interact with Fraud & Safety features and how to manage risk while meeting regulatory compliance requirements.
Day-to-day responsibilities include executing projects with regular direction and setting quarterly roadmaps with constant stakeholder updates. You'll ensure data quality and integrity by blending external and internal data sources, perform data modeling for customers, hosts, cases, and agents using modern frameworks, and execute ad-hoc reporting, data investigations, and root cause analysis across operational areas including policy incubation, enforcement efficacy, prevalence, agent tooling, and staffing optimization. You'll devise business metric frameworks and optimization models to support product, operations, and policy decisions, influence data-driven decisions across global sites via business reviews and self-serve portals, experiment with new policies and product features to mitigate risk, and influence machine learning models in partnership with data science and engineering teams to automate policy enforcement while routing complex cases for manual review.
Requirements:
- 6+ years of industry experience
- Advanced degree in Business Analytics or quantitative field (Masters or PhD preferred) such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research
- Strong communication and collaboration skills with ability to work effectively in cross-cultural, cross-functional environments and communicate rigorous analysis to both technical and non-technical audiences
- Proven track record of delivering full-stack data projects from inception to business impact
- Advanced proficiency in SQL/NoSQL and programming languages (Python, R, SAS)
- Intermediate knowledge of data foundations and databases (Presto, Hive, Teradata, Spark)
- Advanced proficiency in statistical and machine learning techniques
- Advanced proficiency in BI platforms (Tableau or similar) for reports and dashboards
- Familiarity with EDA, hypothesis testing, significance testing, linear/logistic regression, SVM, ridge/lasso regression, random forest, NLP basics, KNN, K-Means, A/B testing, multivariate testing, and digital funnel testing
- Positive, solution-oriented mindset with ability to maintain confidentiality and objectivity
- Exceptional problem-solving abilities, self-motivation, autonomy, strong organizational and time management skills
- Knowledge and experience in Fraud & Safety operations, systems, and tools (preferred)
