Analyst Costing

Madre Integrated Engineering | Full time

• 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.

• 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.

• 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.