St. Elizabeth Healthcare - Erlanger, KY
posted 4 months ago
The Business Intelligence Analyst II position at St. Elizabeth Healthcare is a pivotal role focused on conducting both clinical and non-clinical data analytics to support business decisions across the organization. This position requires the analyst to produce comprehensive reports and dashboards using tools such as Microsoft Excel and PowerBI. The analyst will be responsible for collecting data from various enterprise data systems, including Epic Slicer Dicer, Caboodle & Clarity, and SAP/Crystal, to derive insights that will aid in solving business problems and enhancing operational efficiency. The role demands a proactive approach to communication, ensuring that updates and statuses are conveyed accurately and promptly. Additionally, the analyst will be expected to manage multiple projects simultaneously while mentoring junior team members in technical skills, troubleshooting, and professional development. In this role, the Business Intelligence Analyst II will collaborate with various teams to provide data-driven insights and facilitate effective communication between different operating units. The analyst will gather and analyze user requirements to create complex reports and dashboards, ensuring compliance with established standards and policies for clinical data reporting. The position also involves testing analytical methods and making recommendations for their application, as well as providing troubleshooting support for end-user clinical analytics applications. The analyst will develop standard scorecards and reports that integrate clinical, operational, and financial data, identifying areas for improvement based on performance metrics. Furthermore, the analyst will be tasked with collecting and interpreting clinical data to forecast trends that impact the healthcare sector. This includes tracking performance metrics, presenting performance information to leadership, and assisting in the development and monitoring of performance improvement initiatives. The role requires a strong analytical mindset, attention to detail, and the ability to work collaboratively with cross-functional teams to meet the organization's data and information needs.