Working as embedded intelligence expert as part of an integrated cross-functional team, Finance Intelligence (FI) Analyst turn data into information and knowledge, understanding how that information/knowledge supports and enables key business processes, and communicating those Insights for maximum business impact. Finance Intelligence(FI) Analysts contribute to the business intelligence, reporting, and data analysis needs of the organization. This role works closely with Financial Analysts, senior FI Analysts, and internal customers to turn data into critical information and knowledge that can be used to make sound business decisions. It is essential that FI Analysts build an understanding of the business at a level of detail that enables them to identify and address critical issues. They provide data that is accurate, congruent and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. FI Analysts educate and train customers to use the data as an analytical tool, displaying the information in new forms and content for the purpose of analysis and option exploration. FI Analysts work with customers to determine business requirements, priorities, and define key performance indicators (KPI). This includes working with business and clinical teams to build budgets, forecasts, design and document dashboards, and reports. This role is accountable for facilitating information gathering, structured documentation, and presenting findings to all levels of management. The FI Analyst conducts analyses of functional business processes and functional business requirements and participates in the development of business cases in the support of operations and improvement activity. FI Analysts must have an interest in going beyond the obvious to create information, finding insights, and turning those insights into a story to drive impact and better decision making. They must work well within a team environment.
Education - Bachelor's Degree or equivalent in in business, liberal arts, computer science, application programming, software development, information systems, database administration, mathematics, engineering, or other related field
Experience - 2 years of experience typically gained through skills/knowledge/abilities