Staff Analyst, Advanced Analytics, Payments

🕒 June 22

🇺🇸 United States – Remote

💵 $180k - $221k / year

⏰ Full Time

🔴 Lead

🧐 Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

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

• Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization. • Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem. • Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving. • Solve complex domain challenges using advanced quantitative measurement, machine learning models, AI, and experimentation to provide fresh perspectives on existing solutions. • Develop sophisticated analytical frameworks and statistical models to establish causal inference and drive measurable business impact. • Bridge the gap between technical complexity and strategic influence by translating experimental results into compelling narratives for executive stakeholders. • Influence the eTeam-level roadmap by defining key metrics in unstructured spaces and providing data-backed strategy recommendations.

🎯 Requirements

• A minimum of 10+ 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). • Possess a proven track record of working in Payments organizations, demonstrating deep technical proficiency across payments domain areas, such as payment processing, risk, and compliance. • Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). • Strong storytelling skills. Able to drive • Experience in using AI tools to scale workflows, and identify new areas of opportunity. • 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).

🏖️ Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.