Decision Support Analyst I - Decision Support - FT - Day

The Decision Support Analyst supports strategic, financial, operational, and clinical decision-making across a regional health system through data analysis, reporting, budgeting, forecasting, and performance improvement initiatives. This role partners with leadership, finance, HR, clinical, and operational teams to develop actionable insights, improve operational efficiency, support regulatory compliance, and enhance patient care outcomes. The analyst will manage and analyze complex healthcare data, maintain reporting and decision support systems, and deliver clear, data-driven recommendations to stakeholders across the organization., * Provide actionable insights that improve operational performance, financial outcomes, and organizational effectiveness.

• Build and maintain dashboards, scorecards, reports, and analytical models for leadership and department stakeholders.
• Analyze historical and forecast opportunities for operational improvement, cost reduction, and quality enhancement.
• Ensure data accuracy, integrity, governance, and compliance with organizational and regulatory standards.
• Support continuous improvement initiatives and contribute to the development of best practices in analytics and decision support.
• Support/maintain proforma development, strategic planning, capital investment analysis.

Required for All Jobs

• Complies with all policies, standards, mandatory training and requirements of Stormont Vail Health
• Performs other duties as assigned, Remote Work Guidelines
• Workspace is a quiet and distraction-free allowing the ability to comply with all security and privacy standards.
• Stable access to electricity and a minimum of 25mb upload and internet speed.
• Dedicate full attention to the job duties and communication with others during working hours.
• Adhere to break and attendance schedules agreed upon with supervisor.
• Abide by Stormont Vail’s Remote Worker Policy and will review and acknowledge the Remote Work Agreement annually.

Remote Work Capability

• Hybrid

Scope

• No Supervisory Responsibility
• No Budget Responsibility No Budget Responsibility

Physical Demands

• Balancing: Occasionally 1-3 Hours
• Carrying: Occasionally 1-3 Hours
• Climbing (Stairs): Rarely less than 1 hour
• Crawling: Rarely less than 1 hour
• Crouching: Rarely less than 1 hour
• Eye/Hand/Foot Coordination: Occasionally 1-3 Hours
• Feeling: Occasionally 1-3 Hours
• Grasping (Fine Motor): Occasionally 1-3 Hours
• Grasping (Gross Hand): Occasionally 1-3 Hours
• Handling: Rarely less than 1 hour
• Hearing: Frequently 3-5 Hours
• Kneeling: Rarely less than 1 hour
• Lifting: Occasionally 1-3 Hours
• Operate Foot Controls: Rarely less than 1 hour
• Pulling: Occasionally 1-3 Hours
• Pushing: Occasionally 1-3 Hours
• Reaching (Forward): Occasionally 1-3 Hours
• Reaching (Overhead): Occasionally 1-3 Hours
• Repetitive Motions: Frequently 3-5 Hours
• Sitting: Frequently 3-5 Hours
• Standing: Rarely less than 1 hour
• Stooping: Rarely less than 1 hour
• Talking: Occasionally 1-3 Hours
• Walking: Rarely less than 1 hour

• Bachelor’s Degree Finance, Accounting, Business, Healthcare Administration, Data Analytics/Science, Computer Science, or a related quantitative field. Required, * Experience in healthcare analytics, financial analysis, decision support, business intelligence, reporting, or data management. Preferred
• Experience working within hospital systems, clinic networks, or healthcare operations. Preferred

Skills and Abilities

• Advanced analytical, problem-solving, and critical-thinking skills.
• Proficiency with SQL, Power BI, Tableau, Strata, Workday, EPIC, Fabric, Microsoft Office Suite (Bonus Python, DAX, Power QueryM).
• Experience with report creation and maintenance; healthcare operations, finance, clinical, and regulatory.
• Experience building dashboards, data visualizations, and developing key performance metrics.

Shift: First Shift (Days - Less than 12 hours per shift) (United States of America)

Hours per week: 40

Retaliation is prohibited against any person who files a claim of discrimination, participates in a discrimination investigation, or otherwise opposes an unlawful employment act based upon the above classifications.