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Decision Support Analyst Lead
Position Summary
The Decision Support Analyst is responsible for providing data-driven insights and analytical support to hospital leadership. This role develops, maintains, and interprets clinical, operational, and financial data to support strategic planning, budgeting, cost accounting, service-line analysis, and performance improvement initiatives across the organization.
Key Responsibilities
- Design, build, and maintain routine and ad hoc decision support reports and dashboards for hospital leadership.
- Collect, validate, and analyze large datasets from clinical, operational, and financial systems (EHR, ERP, cost accounting, and revenue cycle systems).
- Ensure accuracy and integrity of data used in decision-making processes.
- Support the development and maintenance of the hospital’s cost accounting system.
- Analyze department and service-line productivity, costs, and profitability to identify operational improvement opportunities.
- Provide benchmark comparisons using industry data (Vizient, AHA, Kaufman Hall, etc.).
- Assist in preparing the hospital’s annual operating and capital budgets.
- Provide modeling and data analytics to support budget assumptions and financial forecasts.
- Monitor budget-to-actual performance and support variance analyses.
- Maintain knowledge of healthcare reimbursement methodologies, cost allocation practices, and regulatory reporting requirements.
- Recommend process and system improvements to enhance decision support capabilities and data governance.
- Assist with annual audit and cost report data collection ensuring accuracy
Qualifications
- Bachelor’s degree in Finance, Accounting, Economics, Healthcare Administration, Data Analytics, or related field (Master’s preferred)
- 2–4 years of experience in healthcare analytics, decision support, or financial planning in a hospital or health system
- Working knowledge of hospital finance, reimbursement, and cost accounting principles
- Advanced skills in Excel and experience with business intelligence tools (e.g., Power BI, Tableau, Qlik) and ERP/EHR systems (Oracle, Cerner, Epic, etc.)
- Strong analytical thinking, attention to detail, and communication skills
- Ability to translate complex data into actionable insights for non-technical audiences
Reports To
Director of Finance
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