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A leading FinTech company is seeking a Data Analyst to conduct in-depth analysis and visualization of various data sets to drive business decisions. This remote position requires a Master's degree and experience with data visualization tools like Tableau and programming languages like Python and R. Ideal candidates will possess strong analytical skills and a passion for utilizing data to inform business strategies.
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 grown from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on grit and constantly look to the future. Our team consists of entrepreneurs and technologists committed to doing the right thing in all aspects of our work.
We are a subsidiary of PROG Holdings (NYSE: PRG), a dynamic FinTech holding company with three segments: Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.
Conduct complex analysis, mining, and visualization of data sets including transactional, sales, operations, and finance data to provide insights, forecasts, decision tools, and optimization programs. Leverage technical skills and creative thinking to solve problems and support business decisions. Work with advanced tools at the intersection of technology and business to utilize Big Data effectively. Understand data storage architectures, extract and process raw data, and generate actionable insights. Use tools such as Microsoft SQL Server, Python, R, Spark, etc., to access data warehouses. Communicate findings through presentations and visualizations. Build models to develop recommendations for business objectives, and present these to senior management. This is a remote position available anywhere in the United States.
Progressive Leasing values diversity and does not discriminate based on race, color, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other protected characteristics.