[Contractor] Operations Analyst, Payment Fraud at AirBnB

In the Analytics Job Family, you will provide data and statistical skills to drive initiatives specific to your Specialization.

As the Operations Analyst, you will be responsible for building operational data visualizations, and performing statistical analysis to provide insights and recommendations.


You will be working closely with the Product Support and Operations Management Job Families and other stakeholders to provide feedback and improve our models and user experience.

In this role, you will be employed by a third party agency and will not be eligible for Airbnb employee benefits.


Responsibilities
Quality Control of Data queries / dashboards
Mentor Operations Analysts and Data Specialists
Support all Specializations


Key Relationships


This role requires building and maintaining relationships with the following stakeholders, outside your Reporting line:
Data Science, Operations Manager, Business Analytics
Policy, QI, as potential Cross-functional Areas of Focus*


*Cross-functional areas of focus formalize the subject matter expertise and points of contact needed for non-Ops supporting teams—to streamline communication, monitor business and tools, and to increase the capacity to which we make and push changes.





Professional Skill Requirements:
Solving problems: You quickly identify root causes as well as subtle, hidden issues. You use logic to propose effective solutions to a variety of problems. You dig deeper and utilize all available resources to reach the best possible solution. You utilize creativity to propose original solutions, and don't stop at the first, most obvious answers. You understand when cutting your losses is the best solution, and can explain why.
Taking initiative: You understand the importance of working hard, and you're willing to invest your energy into new challenges. If you see an opportunity to contribute or make things better, you take it—you don't wait around to be asked. You're comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.
Cultivating relationships You work harmoniously alongside other people. You're cooperative, and prioritize the team's success over your own. You understand the value of collaboration, and encourage teamwork. You build and maintain partnerships throughout the organization. You can effectively articulate and advocate for your own interests while remaining fair to everyone else. You are trusted and respected by the people who work with you, and have a visible and personal brand throughout the company. You are open and candid.


Technical Skill Requirements
Trained in SQL (Superset or PrestoDB)
Able to write advanced functional SQL queries
Able to easily create data visualizations
Good technical understanding of Payment fraud - data & engineering perspective.
Previous experience in building analytics models or working on risk engine models is a big plus.


Qualifications
Statistics familiarity or related education or background
You may have 7+ years of payments / payment fraud experience plus relevant education.
You must have strong influencing skills and be able to manage effectively in ambiguity.