Healthcare Insights and Data Quality, Analyst

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About the Role

This role drives insights, quality assurance, and continuous improvement for healthcare claim data processed through the medical documents digitisation solution using Optical Character Recognition (OCR) solution. Key responsibilities include analysing digitised outputs, identifying issues or data gaps, and providing insights to improve upstream/downstream processes, minimise exceptions, and optimise operational efficiency.

Roles and Responsibilities:

Document Recognition Quality & Insights

• Analyse digitised output to identify extraction gaps, recurring errors, and trends.
• Provide structured feedback on issues such as missing fields, misclassification, or formatting inconsistencies to improve data quality.
• Conduct analysis on hospital billing structures/patterns to identify root causes of low digitisation rates.
• Build/maintain dashboards to monitor digitisation performance and data quality indicators.
• Contribute insights relevant to potential Fraud, Waste & Abuse (FWA) in downstream processes.
• Monitor performance trends in the document review workflow and provide actionable insights to improve overall digitalisation processes.
• Perform peer review of analysis outputs prepared by team members to ensure accuracy, consistency, and alignment with established quality standards.

Workflow support & maintenance

• Plan, develop test plans/scenarios and participate in testing and validation for workflow enhancements, new features, and new data fields.
• Validate fixes related to data accuracy, field mapping, display logic, and business rule alignment for analytical consumption.
• Analyse issues arising from digitalised claim outputs, document patterns, or workflow behaviours, and provide insights to guide engine refinements.
• Report functional issues, document rootcause patterns, and track resolution progress with internal technical teams.

Governance & Reporting

• Ensure compliance with healthcare data standards and Local Data Council directives.
• Manage interim datasets used for trend analysis, quality monitoring, and management reporting.

Minimum Job Requirements:

• Degree in Computer Science, Data Science, Business Analytics, Mathematics, Artificial Intelligence, Statistics, Actuarial Science, or related numerate disciplines.
• Minimum 3 years of experience in digital data processing, OCRrelated workflows, or healthcare analytics, with exposure to digitalisation and exception-handling processes being an added advantage.
• Strong analytical and problemsolving capabilities, with the ability to interpret complex datasets.
• Proficiency in SQL and dashboarding tools such as Power BI
• Adaptable, agile, and comfortable working in a fastpaced environment.