Senior Analyst, Revenue Cycle Analytics

USRC's greatest strength in being a leader in the dialysis industry is our ability to recognize and celebrate the differences in our diverse workforce. We strongly believe in recruiting top talent and creating a diverse and inclusive work climate and culture at all levels of our organization.

SUMMARY

The Senior Analyst -- Revenue Cycle Analytics plays a vital role in analyzing, monitoring, and enhancing the financial performance of the organization's revenue cycle. Responsibilities include supporting all reporting and analysis related to company revenue, reserves, and Central Business Office (CBO) operations. This involves detailed modeling and analytics utilizing various scenarios. Additionally, this position is responsible for assisting with revenue forecasting and the monthly financial and revenue close processes.

 

Essential Duties and Responsibilities include the following. Other duties and tasks may be assigned.

 

• Track essential revenue cycle metrics (such as net collection rate, AR aging, denial rates, charge lag, days in AR) and provide regular performance reports to leadership.
• Prepare analysis and reports to assist with strategic initiatives, payer negotiations, and compliance activities.
• Analyze the underlying causes of revenue leakage, underpayments, denials, and billing inefficiencies, and propose appropriate corrective measures.
• Participates in team concepts and promote a team effort; performs duties in accordance with company policies and procedures.
• Regular and reliable attendance is required for the job.

Qualifications

Qualifications/Requirements:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

Requirements include:

• Bachelor's degree in Business, Finance, Data Analytics, or related field.
• 3+ years of experience in data analysis or revenue cycle operations.
• Proficiency in Microsoft Excel (including VBA), SQL, and other data analysis tools.
• Strong project management skills and ability to manage multiple priorities.
• Excellent communication skills for presenting complex data.