الوصف الوظيفي
Qualifications
Requirements
- Support the development and maintenance of patient, service line, departmental, and procedural costing methodologies.
- Collect, validate, and analyze financial and operational data for cost accounting purposes.
- Assist in the preparation of cost reports, dashboards, and variance analyses.
- Monitor direct and indirect cost allocations across departments and cost centers.
- Analyze labor, supplies, pharmaceuticals, and overhead costs to identify efficiency opportunities.
- Support annual budgeting, forecasting, and financial planning activities.
- Assist in determining the cost of clinical services, procedures, and programs.
- Maintain costing systems, cost drivers, and allocation methodologies.
- Collaborate with Revenue Cycle teams to support pricing and reimbursement analyses.
- Prepare ad hoc financial and operational analyses for leadership decision-making.
- Support benchmarking initiatives and comparison of cost performance against internal and external standards.
- Ensure data integrity and compliance with organizational costing policies and accounting standards.
- Participate in process improvement initiatives to enhance financial performance and cost transparency.
Requirements
Qualifications
- Bachelor's degree in Accounting, Finance, Economics, Healthcare Administration, Business Administration, or a related field.
- Professional certification such as CMA, CPA, ACCA, CIMA, or equivalent is preferred.
- Advanced training in healthcare costing, financial analysis, or business analytics is an advantage.
Requirements
- 2-4 years of experience in healthcare finance, cost accounting, financial analysis, or related fields.
- Experience with healthcare costing methodologies and cost accounting principles preferred.
- Strong analytical and problem-solving skills.
- Advanced proficiency in Microsoft Excel and financial reporting tools.
- Experience working with ERP systems, cost accounting systems, and healthcare information systems.
- Knowledge of budgeting, forecasting, variance analysis, and financial modeling.
- Ability to interpret large datasets and translate findings into actionable recommendations.
- Strong communication and stakeholder management skills.
- Ability to work effectively with clinical, operational, and finance teams.