Lead Analyst, Advanced Analytics

🕒 il y a 3 mois

🇺🇸 États-Unis – Télétravail

💵 $164 000 - $191 000 / an

⏰ Temps Plein

🟠 Senior

🧐 Analyste

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 35%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Airbnb

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2007

✈️ Tourisme

📦 Logistique

🛍️ eCommerce

💰 Post-IPO Equity en 2020-12

Travel • Logistics • eCommerce

Airbnb est une place de marché en ligne mondiale qui met en relation des personnes cherchant un hébergement avec des hôtes proposant des options de logement uniques et variées, souvent dans des propriétés résidentielles. Les utilisateurs peuvent réserver des espaces allant d'appartements d'une chambre entière à des maisons complètes et des hôtels de charme. Airbnb propose également des expériences, permettant aux invités de réserver des activités organisées par des locaux, offrant ainsi une expérience de voyage authentique.

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

🎯 Exigences

• 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.

🏖️ Avantages

• bonuses • equity • benefits • Employee Travel Credits