Progressive Leasing is a leading provider of in-store, ecommerce, and app-based point-of-sale lease-to-own solutions that provide transparent and competitive payment options and flexible terms intended to help credit challenged customers achieve merchandise ownership. The company has helped millions of consumers acquire furniture, appliances, jewelry, electronics, mattresses, cell phones, and other products consumers need by utilizing a technology-based proprietary platform that provides instant decisioning results. Progressive Leasing is owned by PROG Holdings, Inc. (NYSE:PRG), a fintech holding company based in Salt Lake City, Utah.

We’re looking for aData Analyst (Remote) to join our amazing team and help to further Progressive Leasing’s vision!

This role is a work from home position and can be performed remotely anywhere in the continental US or in our corporate location in Utah.

Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity; opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.

WE ARE: A team building Data Science and Machine Learning solutions that transform the way retailers and consumers do business!

YOU ARE: As a Data Analyst, you draw business insights from data through complex analysis, mining, and visualization. At Progressive Leasing, you will learn to understand the nuances of our 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

• Create interactive data visualizations that allow the business leaders to react quickly to performance and market trends and make data-driven decisions
• Build and run models to determine optimal resource allocation
• Analyze transaction patterns to prevent fraud
• Extract usable information from unstructured data using advanced data mining techniques

You’ll Bring

• A Bachelor’s degree in a technical field (Math, Statistics, Physics, Computer Science, Engineering, etc.)
• Experience with data mining and visualization tools such R, Python, Tableau, and Power BI as well as querying languages (SQL, etc.)
• Advanced knowledge and experience with querying languages (SQL, etc.)
• Strong quantitative analytical abilities
• Track record of achieving business results through creative problem solving and careful implementation