About the revenue cycle analyst role
Every CredSpun engagement starts with a free practice review: clean claim rate and first-pass resolution, denial reasons by payer, aging past 90 days, suspected underpayments against contracted rates, and payer panels the practice isn't enrolled with. As a revenue cycle analyst you produce those reviews — and the monthly reporting that follows once a practice signs on.
The job is half analysis and half translation. The numbers have to be right, and the findings have to be written so that a practice owner understands what each problem is worth and what to do about it.
What you will do
- Pull and clean data from practice management systems and clearinghouse reports
- Calculate core RCM metrics: clean claim rate, denial rate, days in AR, net collection rate
- Break denials down by payer, reason, provider and location, and estimate their value
- Compare paid amounts to contracted fee schedules to find underpayments
- Write practice review findings and monthly reports in plain English
- Track whether process fixes reduce the denials they target
- Support account leads in client calls with the numbers behind each recommendation
What you need
- Three or more years in medical billing or revenue cycle, including reporting
- Strong Excel or Google Sheets (pivot tables, lookups) skills
- Solid understanding of the full revenue cycle, from eligibility to AR
- Clear, concise business writing
Helpful, not required
SQL or a BI tool, CRCR or CRCS certification, and experience with payer contract analysis.
Working remotely at CredSpun
This is a fully remote, work-from-home role open to applicants living in the United States. You work during U.S. business hours alongside a named account team, inside each client practice's own EHR and practice management system, with every login tied to you personally. You need a quiet, private workspace, a reliable broadband connection and a computer that can run a current browser and a second monitor. HIPAA training is part of onboarding, and you sign our confidentiality terms before you are given access to any patient data.