Description
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 organisation.
As a Staff Advanced Analyst, you will be a data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data-informed decisions. You will drive day-to-day analytics and create scalable data tools, identify pain points in travelling and hosting, 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-the-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organisation. 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.
Key responsibilities include:
- Leading and driving data-driven roadmaps for the CS Safety working groups
- Recommending actionable solutions backed by data and metrics to product and operational problems
- Building and owning an insights and reporting platform that measures and improves the effectiveness of behaviours, product interfaces, and processes across the CS Safety platform and contact centre network
- Performing data modelling of the various entities using tools and frameworks for optimising community and agent experiences
- Defining and evaluating key metrics in an unstructured problem space, including measurement of the ML models that drive product development
- Anticipating emerging safety risks through early-warning indicators, trend analysis, predictive modelling, and scenario planning to assess operational risk
- Influencing data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs, and planning among others
- Influencing experimentation and measurement strategies; conducting power analyses, defining exit criteria, and using statistical models to improve inference
Requirements include:
- A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD) 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 centre or customer operations environments
- 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 modelling (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
Experience Level: Staff Employment Type: Full-time Workplace Type: Remote Category: Engineering Industry: Technology Salary Range: $176,000-$220,000 USD Required Skills: SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models Preferred Skills: Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics