Data Analyst 2

Job Description

Job Summary What you need to know about the role This role will drive critical business insights for senior leadership to tackle key strategic questions and improve how we operate as a business. You will facilitate important changes that will shape the future of PayPal leveraging data and AI to drive next-level fraud risk insights. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Business Intelligence (BI) team. The BI team addresses key strategic and critical business initiatives. It partners with senior leaders to develop business cases for potential investments. The team also provides insights and recommendations to ensure smooth execution with cross-functional partners. Job Description Your way to impact You will be the data scientist on Business Intelligence team, where you will work on leading new projects to build and improve the tools and use of data to inform business decisions. In this position, you will use a variety of methodologies and approaches to strengthen and improve the existing business portfolio , including data exploration and analysis, developing metrics, and building new features through ML , AI or other suitable technologies. In this role, you will collaborate with teams to develop strategies and insights to support fraud prevention, loss impacts, and operational efficiencies. You will work together with cross-functional teams to deliver solutions and providing analytics and governance over financial and operational metrics. These solutions will adapt PayPal s advanced proprietary fraud prevention and experience mechanisms, enabling growth. What do you need to bring - 4-7 years of relevant experience working with large-scale complex datasets. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Strong working knowledge of Excel, SQL and Python /R Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems