At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Hybrid: SFO and NYC GEICO is seeking Finance Data specialists to support the build out of a Finance Data Warehouse/Lake by partnering with both Finance and Technology teams to redesign the way they use their technologies in managing GEICO's business. This individual must have strong functional and technical Finance Systems background to partner with the Business ensuring effective discussions to drive the capture, transformation, and analytics-driven utilization of Finance data to meet Business goals. The Staff Engineer, Finance Data BI Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data repository to support FP&A processing and business intelligence analytics while also supporting the larger Finance organization’s need for Finance data and analytics. The Finance Data Specialist will work with multiple Finance and Technology leaders to support the build out the company’s Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. This role is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a “thin” ledger. The ideal candidate has deep Finance Systems experience across multiple companies; a background in ERP and Finance Data Warehouses from both technical and functional aspects; and has supported the deployment of best practices leveraging their broad knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is required for consideration.