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We are looking for a Staff Advanced Analyst 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 Safety organization.
Job Responsibility:
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 traveling and hosting and work with product leadership to improve experiences for our guest, host and agent community
Lead and drive data-driven roadmaps for the CS Safety working groups
Build and own an insights and reporting platform that measures and improves the effectiveness of behaviors, product interfaces, and processes across the CS Safety platform and contact center network
Perform data modeling of the various entities using tools & frameworks for optimizing community and agent experiences
Define and evaluate key metrics in an unstructured problem space including measurement of the ML models that drive product development
Anticipate emerging safety risks through early-warning indicators, trend analysis, predictive modeling, and scenario planning to assess operational risk
Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
conduct power analyses, define exit criteria, and use statistical models to improve inference
Requirements:
A minimum of 10+ years of industry experience in business analytics
A degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Experience supporting safety, risk, Trust & Safety, compliance or employee wellbeing in high-volume call center or customer operations environments
Expert skills in SQL
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 operating independently with minimal planning, direction, and supervision
Proven track record of influencing senior leaders and driving outcomes