Data Operation Analyst Job in Gurgaon at Commure India Private Limited

Commure India Private Limited is hiring for the role of Data Operation Analyst!

Responsibilities of the Candidate:

• Data Verification:
  • Validate that revenue transaction reports are accurately ingested from EHR systems.
  • Perform detailed data comparisons between source EHR data and ingested data
• Quality Assurance Testing:
  • Develop and execute test plans, test cases, and test scripts for data ingestion processes.
  • Identify, document, and track data discrepancies and defects.
• Mathematical Analysis:
  • Apply basic mathematical principles to assess data accuracy and financial calculations.
  • Ensure numerical data integrity in financial reports and transactions.
• Process Improvement:
  • Collaborate with the development team to improve data ingestion processes.
  • Recommend enhancements to QA methodologies and tools.
• Documentation:
  • Maintain comprehensive documentation of QA activities, test results, data mappings, and mathematical calculations.
  • Prepare reports summarizing QA findings and present them to stakeholders
• Cross-Functional Collaboration:
  • Work closely with IT, finance, and operations teams to ensure data integrity.
  • Participate in meetings to discuss QA results and coordinate remediation efforts.
• Compliance and Standards:
  • Ensure all data handling complies with HIPAA and other regulatory requirements.
  • Stay updated on industry best practices related to data quality and EHR systems.

Requirements:

• Bachelor’s 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 modeling and automation is a huge plus
• Experience with data visualization 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.