Hybrid Senior Data Analyst Senior Data Analyst with verification

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE: PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.We are currently hiring a Senior Data Analyst – Data Scientist, Fraud Analytics to help grow our company and ensure our mission is achieved! This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate headquarters in Utah. WE ARE: A team of hungry entrepreneurs with big dreams, gritty FinTech experts, passionate about disrupting big markets, joined on a mission to modernize and accelerate our technical environment. We like to move quickly, break things, make mistakes, and get better every day, as long as we are continuously delivering. YOU ARE: A driven analytics professional. As a Senior Data Analyst/Scientist, you will draw business insights from data through complex analysis, mining, and visualization. You will learn to understand the nuances of Progressive’s business and ensure that we capture, mine, and act on data related to our customers, our stores, and our operational and financial performance to drive business impact. You will leverage strong technical skills and creative thinking to solve problems and make quantitative decisions. You’ll work with cutting edge tools and products at the intersection of technology and business, and Big Data will become a way of life for you. Most importantly, you’ll allow us to get unique and valuable insights that go beyond the obvious and help us achieve extraordinary results. Your Day-to-day

• Design, create, and update tools that identify threat vectors
• Analyze data patterns to prevent and mitigate fraud
• Partner with product and technology teams to implement solutions
• Develop machine learning models in partnership with more senior team members