Senior Data and Operations Analyst, Revenue Cycle

What We Provide

• Referral bonus opportunities
• Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays
• Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability
• Employer-matched retirement saving funds
• Personal and financial wellness programs
• Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care
• Generous tuition reimbursement for qualifying degrees
• Opportunities for professional growth and career advancement
• Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities

What You Will Do

• Extracts, analyzes, and validates large, complex datasets across RCD functions using SQL and related tools.
• Designs, builds, and maintains automated reconciliations, validation checks, and exception reporting to reduce manual effort and improve reliability.
• Produces ad hoc analyses, dashboards, and operational reports to support decision-making, performance monitoring, and cash flow visibility.
• Translates operational workflows into clear data logic, control structures, and repeatable processes that can be systematized and scaled.
• Documents data logic, workflows, and operational assumptions to support continuity, transparency, and knowledge transfer.
• Executes and supports monthly health plan premium and spenddown billing cycles, including preparation, validation, submission, and follow-up activities.
• Validates enrollment and billing data by comparing current and prior periods to identify changes requiring action.
• Monitors billing outcomes, investigate discrepancies, and coordinate corrective actions as needed.
• Performs and oversees exception handling, retroactive adjustments, and cleanup of prior-period impacts.
• Supports supplemental or mid-cycle billing activity as required, while actively working to reduce reliance on manual intervention through automation and process redesign.
• Performs and designs reconciliations across enrollment, billing, payment, and other revenue cycle data domains.
• Develops reconciliation outputs and exception workflows that can be efficiently reviewed or executed by contracted or offshore resources with appropriate controls.
• Oversees the quality and completeness of repetitive operational work performed by vendors or contracted staff.
• Operates within established internal control and segregation-of-duties frameworks and help strengthen those controls through data-driven solutions.
• Applies technical and analytical expertise to support additional RCD functions beyond billing, such as cash reconciliation, denial analysis, or operational reporting.
• Partners with RCD stakeholders to identify opportunities where data, automation, or improved reporting can eliminate manual steps and improve efficiency.
• Supports operational continuity during system, vendor, or process changes by validating data outputs and ensuring readiness for transition.
• Participates in testing, validation, and stabilization activities during periods of change.
• Participates in special projects and performs other duties as assigned.

Education:
Bachelor's Degree in Computer Science, Mathematics, Statistics, Economics, Finance, Health Administration, or related discipline, or equivalent experience required

Work Experience:

• Minimum 4 years of experience in data analytics, reporting, automation, or technical roles supporting financial or operational processes required
• Demonstrated experience working with large datasets and designing data-driven solutions to improve workflows required
• Experience building reconciliations, validations, or analytical controls required
• Experience in healthcare, revenue cycle, insurance, or regulated environments preferred
• Prior experience with premium or spenddown billing preferred Advanced proficiency in SQL for data extraction, manipulation, and validation required
• Advanced Excel skills, including complex formulas, pivot tables, and data comparison techniques required Experience with business intelligence or data visualization tools preferred
• Familiarity with automation or scripting tools (e.g., Python, R) preferred