Oportun (Nasdaq: OPRT) is a financial services company and digital platform that provides responsible consumer credit to hardworking people. Using A.I.-driven models that are built on years of proprietary customer insights and billions of unique data points, we have extended millions of loans and billions in affordable credit, providing our customers with alternatives to payday and auto title loans. In recognition of our responsibly designed products which help consumers build their credit history, we have been certified as a Community Development Financial Institution (CDFI) since 2009.
Since extending our first loan in 2006, Oportun has made over 4 million loans, totaling over $10 billion to hardworking low- and moderate-income individuals. In turn, Oportun has helped more than 905,000 people begin establishing the credit history required to enter the financial mainstream. At the same time, Oportun’s customers have saved an estimated $1.9 billion in interest and fees compared to the alternatives typically available to them.
This position will be a key to the data strategy of the FP&A organization and will support the overall data strategy of Oportun as a whole. This position will be relied upon to partner with our internal Analytics team and work to migrate all data within the analytics data ecosystem into the FP&A datalake. The position will then be relied upon to transform and join the migrated data at appropriate grain to support FP&A predictive analytics and reporting. This colleague will also be looked upon to migrate financial data into RedShift and integrate it into the FP&A datalake. This position will serve as the subject matter expert for all data within the FP&A datalake and will work closely with the Analytics team to understand data lineage and continuous data changes driven by business needs.