Work from Office
Full Time
We are looking for a Data Operations Analyst who will be responsible for debugging and improving key performance metrics within the Revenue Cycle Management (RCM), patient verification and benefits process. The ideal candidate will have a strong background in critical thinking, data analysis, and a strong understanding of U.S healthcare revenue cycles.
Validate that revenue transaction reports are accurately ingested from EHR systems.
Perform detailed data comparisons between source EHR data and ingested data
Develop and execute test plans, test cases, and test scripts for data ingestion processes.
Identify, document, and track data discrepancies and defects.
Apply basic mathematical principles to assess data accuracy and financial calculations.
Ensure numerical data integrity in financial reports and transactions.
Collaborate with the development team to improve data ingestion processes.
Recommend enhancements to QA methodologies and tools.
Maintain comprehensive documentation of QA activities, test results, data mappings, and mathematical calculations.
Prepare reports summarising QA findings and present them to stakeholders.
Work closely with IT, finance, and operations teams to ensure data integrity.
Participate in meetings to discuss QA results and coordinate remediation efforts.
Ensure all data handling complies with HIPAA and other regulatory requirements.
Stay updated on industry best practices related to data quality and EHR systems.
Bachelors degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.
Minimum of 1 year of experience in quality assurance or data analysis.
Familiarity with healthcare revenue cycle and financial reporting. Understanding of healthcare compliance standards and regulations.
Advanced proficiency in Microsoft Excel, including advanced functions like VLOOKUP, pivot tables, macros, and data analysis tools. Experience with complex data modelling and automation is a huge plus
Experience with data visualisation tools (e.g., Tableau, Power BI).
Strong mathematical, statistical, and analytical skills to handle financial data.
Experience with automated testing frameworks, QA tools and methodologies
Effectively communicate complex data insights to diverse stakeholders in a clear, understandable, and actionable way.
Possess experience with databases, including proficiency in SQL skills, and demonstrate the ability to research and manipulate complex, large datasets.
Willing to work in India Night Shifts (US Day shift EST to PST time zones)
Commure
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