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2 дня назад

Revenue Cycle Reporting Analyst (Senior Analyst) (Healthcare)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Revenue Cycle Reporting Analyst (Senior Analyst) (Healthcare): Designing and maintaining enterprise KPI dashboards and automating reporting workflows for the Defense Health Agency to improve revenue cycle performance with an accent on cost recovery, compliance, and audit readiness. Focus on analyzing large-scale RCM datasets, building predictive models, and surfacing performance trends to optimize billing and collections.

Location: Remote (Must be US-based and hold or be eligible for Active Public Trust clearance)

Company

hirify.global provides professional services and analytical support to government agencies, including the Defense Health Agency (DHA).

What you will do

  • Design and maintain interactive enterprise KPI dashboards using Power BI, Tableau, and Qlik Sense to visualize revenue cycle trends.
  • Conduct exploratory data analysis on large, multi-source datasets (e.g., Oracle Cerner MHS GENESIS) to identify bottlenecks and risks.
  • Build predictive and machine learning models using Python, R, SQL, or SAS to inform operational decision-making.
  • Identify and quantify process-improvement opportunities across billing, collections, and denial management to forecast financial lift.
  • Collaborate with DHA UBO leadership and stakeholders to translate enterprise priorities into measurable KPIs.
  • Author executive briefings, assessment reports, and SOPs tailored for senior military and civilian audiences.

Requirements

  • Active Public Trust clearance or ability to obtain one.
  • Deep understanding of healthcare revenue-cycle concepts, including charge capture, coding, billing, and reimbursement.
  • Proficiency with EHR and revenue-cycle software, specifically Oracle/Cerner MHS GENESIS.
  • Advanced skills in SQL, Power BI, Tableau, and Excel (Power Query/Pivot).
  • Ability to use Python, R, or SAS for data analysis and predictive modeling.
  • Bachelor's degree in Data Science, Health Information Management, Statistics, Finance, or a related field.

Nice to have

  • 5+ years of total RCM analytics experience, with 3+ years in a DoD or large integrated-delivery-network setting.
  • Master's degree in a related field.
  • Professional certifications such as HFMA CRCR, AHIMA RHIA/RHIT, CPC, or CBIP.
  • Experience working in Agile or hybrid-waterfall consulting environments.

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