Lead Analyst, Advanced Analytics

🕒 5 days ago

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Logo of Airbnb

Airbnb

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Generating payment reports and analyzing payment data for insights and performance evaluation • Provide regular updates and reports to management and stakeholders, translating complex technical findings into business-friendly narratives and recommendations for leadership. • Assist with analyzing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimization • Design, execute, and analyze experiments to evaluate the impact of Payment strategies, product changes, and process improvements. • You will collaborate on Financial Risk Management including losses, chargebacks and other cost components, and automation of payments processes • Assist with initiatives to optimize the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities • Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results • Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilizing advanced data analytics, AI/ML techniques to inform strategic decision-making • Leverage experience across adjacent payment risk domains (trust & safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities. • Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape. Proactively identify opportunities for innovation • Monitor payment trends, identify areas for improvement and implement strategies to optimize payments processing. • Provide guidance to platform to maintain a robust and reliable payments infrastructure, contributing to the overall financial health of the business

🎯 Requirements

• 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 Payments teams and/or have worked closely with payments organizations, with demonstrated exposure to multiple payment risk domains such as trust & safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management. • 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). • Exceptional communication and storytelling skills, you can distill highly technical work (model outputs, experimental results, complex data analyses) into clear, actionable insights for senior leadership and business stakeholders. • 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.

🏖️ Benefits

• bonuses • equity • benefits • Employee Travel Credits

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