Quantitative Analyst

In this role, you will be required to develop an extensive knowledge of PayPal s overall Business and will work with large quantities of data to develop deep actionable insights that shape the thinking of senior leaders and our cross-functional partners. We are looking for a talented, ambitious, versatile, and self-motivated, data scientist to drive a last-mile strategy solution focusing on value driven outcome.

Meet our team:

PayPal s Global SMB Portfolio Analytics team provides the connecting fiber between Strategy, Go-To-Market, Product, and Marketing teams. We collaborate closely with senior leadership to deliver analytical insights, perform merchant segmentation, drive global initiatives, and develop self-serve tools to empower our teams and enhance decision-making.

• You believe in data-driven decisions and use data to answer business questions
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
• You are curious and inquisitive: you love digging into data and uncovering insights
• You can structure complex problems in simple terms.
• Be an independent thinker, able to work autonomously on projects with complexity both on the technical side and on the business implications side

• Develop a deep understanding of PayPal s overall key strategic initiatives of the SMB business.
• Identify key business levers, establish cause & effect, perform analysis, and communicate key findings to our main business stakeholders to facilitate data-driven decision making.
• Synthesizing large volumes of data with attention to granular details to discover new opportunities to grow and optimize the business using state-of-the-art tools and techniques.
• Build exec-facing insights, reports, and dashboards to track and present the progress of its highest-priority initiatives and present findings and recommendations to senior-level stakeholders
• Drive automation of repetitive process and build and deliver self-serve tools to empower Business stakeholders.

• Data-driven mindset, with a degree in a quantitative discipline such as Engineering, Computer Science, Statistics, Mathematics or Economics.
• At least 4 years of relevant work experience in analysing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations.
• Strong interpersonal and project management skills, ability to lead cross-functionally.
• Strong organizational, multi-tasking, and prioritizing skills, sets and meets deadlines
• Fluent in SQL and Excel, and visualization tools such as Tableau or Looker; experience with a statistical programming language like Python or R is preferred