Senior Revenue Cycle Management (RCM) Data Analyst
Job Description
This remote position at SimonMed Imaging places you at the helm of analytics across the radiology revenue cycle, directing the RCM analytics team and collaborating with RCM leadership, operations, IT, and finance to drive cash flow improvements, reduce denials, and streamline workflows.
Responsibilities
- Oversee end to end analysis of the radiology revenue cycle, covering scheduling, prior authorizations, charge capture, coding, billing, reimbursement, accounts receivable, and denial management.
- Design, maintain, and enhance dashboards, reports, and KPI frameworks to monitor performance across enterprise, payer, modality, location, and workflow levels.
- Identify trends, risks, and opportunities related to cash acceleration, denial reduction, underpayments, productivity, and operational efficiency.
- Translate complex data into clear, actionable insights for executive and operational leaders
- Ensure data accuracy, integrity, and consistency across systems and reporting outputs.
- Partner with RCM operations leaders to diagnose issues in front end, coding, billing, and follow up workflows and support corrective action plans.
- Collaborate with finance on revenue forecasting, performance tracking, and variance analysis.
- Support payer strategy and contract performance analysis through data driven insights.
- Provide analytics support for strategic initiatives, audits, and performance improvement programs.
- Leverage EHR, practice management, RCM platforms, and analytics tools to automate reporting and improve data accessibility.
- Work with IT and vendors on data mapping, system enhancements, and integration of radiology specific workflows (modalities, CPTs, payer rules).
- Continuously improve data processes to reduce manual work and increase speed and reliability.
- Serve as a people manager and mentor for RCM analytics staff, setting clear expectations, reviewing work quality, and developing analytical capability across the team.
- Establish standards for analytical rigor, documentation, and repeatable reporting processes.
- Foster a high performance, high accountability culture with strong attention to detail and follow through.
- Prioritize and allocate analytical resources based on business impact and organizational needs.
Requirements
- Comprehensive knowledge of revenue cycle functions including patient access, coding, billing, collections, denials, and reimbursement models.
- Proven ability to align revenue cycle strategy with organizational goals, interpret financial data, drive performance metrics, and support long term financial sustainability.
- Strong technical and analytical skills, executive level communication, and negotiation abilities with capacity to proactively identify and quantify performance issues, shape data to drive insights, and lead cross functional remediation efforts.
- Relentless work ethic, ownership mindset, ability to meet deadlines, and capacity to thrive in a fast paced environment.
- Ability to go beyond surface metrics to root cause analysis and actionable insight.
- Deep understanding of healthcare regulations and payer requirements (HIPAA, CMS) to ensure compliance and reduce risk exposure.
- Experience with EHR/RCM systems and data analytics tools, with the ability to leverage technology to optimize workflows and revenue capture.
- Deep understanding of payer contracts, reimbursement models, billing, and regulatory guidelines.
- Experience supporting multi site, multi state radiology or healthcare organizations.
- Familiarity with radiology specific coding, payer behavior, and authorization dynamics.
- Experience building scalable KPI frameworks and executive level dashboards.
- Bachelor’s degree in healthcare administration, business, finance or related field required.
- 7+ years of progressive experience in revenue cycle analytics, with strong radiology or healthcare services exposure.
- Demonstrated expertise across the full radiology revenue cycle from front end through AR and denials.
- Advanced analytical skills, including strong SQL and/or advanced Excel; experience with BI tools highly preferred.
- Prior experience leading, mentoring, or managing analysts.
- Proven ability to communicate complex findings clearly to both technical and non technical audiences.
- Exceptional attention to detail with a strong sense of ownership and follow through.
Technologies
- SQL
- Excel
- BI tools
- EHR systems
- RCM platforms
- Practice management systems
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