Analytics-Driven Reimbursement Analyst – Hybrid

Quadax, Inc.

Middleburg Heights (OH)

Hybrid

USD 72,000 - 82,000

Full time

24 hours ago
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Job summary

Quadax, Inc. is seeking a Reimbursement Analyst in Middleburg Heights, OH, to optimize client revenue cycles using analytics. The role requires 3–5 years in Healthcare Revenue Cycle Management and a four-year degree.

You will analyze AR, identify payer trends, prepare reports, and collaborate across units to improve RCMM. Hybrid work schedule after onboarding, with 3 days on-site. Proficiency in Excel and exposure to Power BI and SQL is preferred, enabling data-driven recommendations and

Qualifications

  • Bachelor's degree in Business Management, Healthcare Management, Finance, or Business Analytics.
  • 3–5 years of professional experience in Healthcare Revenue Cycle Management.
  • Strong analytical, problem-solving, and communication skills.
  • Advanced proficiency in Excel; Power BI and SQL are a plus.
  • Ability to manage multiple tasks and interact with clients and executives.

Responsibilities

  • Analyze monthly accounts receivable and identify payer reimbursement trends.
  • Prepare detailed reports and collaborate with stakeholders to implement improvements.
  • Create ad hoc reports with Excel, Power BI, and SQL.
  • Monitor reimbursement improvements and present results to management.
  • Support end-of-month revenue cycle presentations and quarterly reviews.

Skills

Analytical thinking
Communication
Problem solving
Attention to detail
Time management

Education

Bachelor's degree in related field

Tools

Power BI
SQL
Excel
Visio

Job description

Quadax, Inc. is seeking a Reimbursement Analyst in Middleburg Heights, OH, to optimize client revenue cycles using analytics. The role requires 3–5 years in Healthcare Revenue Cycle Management and a four-year degree.

You will analyze AR, identify payer trends, prepare reports, and collaborate across units to improve RCMM. Hybrid work schedule after onboarding, with 3 days on-site. Proficiency in Excel and exposure to Power BI and SQL is preferred, enabling data-driven recommendations and

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