Our leaders shape strategic initiatives, develop passionate teams, and work to improve health outcomes. They advance our mission and exemplify excellence, compassion, teamwork and purpose in all that they do . Indiana University Health is seeking individuals who embody these values to join our HR Operations team in the role of HR Data and Systems Senior Analyst. Provides workforce data analysis and database management support to programs and initiatives to drive actionable recommendations based on internal and external research. Serves as a resource person to team members to ensure all requirements, understanding, and analyzing data for sharing data-driven insights and performance improvement initiatives are met. Monitors and regularly upgrades/enhances the HR analytics platforms and dashboards to address current and emerging business needs. Maintains security measures to ensure proper quality checks and that governance is established for all data solutions. Responsible for delivering regular report generation and operational work products supporting the development of data decision-making tools (i.e., modeling, forecasting, and prediction). Design and implement data collection processes and measurement strategies to advance data analysis techniques to identify trends, measure effectiveness, and provide actionable insights. Create comprehensive reports, summaries, and visualizations to communicate findings to business stakeholders and senior leaders. Create and maintain all documentation, including the data design, requirements, metric inventory, and user manuals. Serves as an expert user, providing enablement and training for additional system users to champion a data-driven culture by educating partners and business leaders on the value and practical usage of analytics and insights. Adhere to best practices and organizational policies to ensure data security and confidentiality. Build strong relationships with internal stakeholders to ensure data initiatives meet their needs and drive organizational success. Achieve results through strategic execution, attention to detail, and a commitment to data integrity and accuracy
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees