Medical Investigation Data Analytics, Manager

Daman - National Health Insurance Company; Abu Dhabi; On-site; AED 120,000 - 150,000; Full time

Job summary

A leading health insurance provider in Abu Dhabi is looking for a Data Analyst to support health insurance cost strategies with accurate data insights. You will enhance dashboards and reports using Power BI, monitor data quality, and collaborate with data scientists. A bachelor's degree in a related field and at least three years of healthcare data experience are required. This role offers opportunities for professional development and advancement.

Qualifications

• Minimum 3 years of experience in healthcare data management or analysis.
• Experience with medical coding (CPT4, ICD10) and FWA preferred.
• Strong analytical and decision-making skills.

Responsibilities

• Deliver data insights and support health insurance cost containment strategy.
• Develop dashboards and reports using Power BI.
• Support data scientists in advanced modeling efforts.
• Monitor data quality in reporting outputs.

Skills

Data Analytics

SQL

Power BI

Healthcare Management

Data Visualization

Education

Bachelor's degree in Computer Science, Statistics, Health Economics, or related field

Master’s degree or PhD

Tools

SQL

Power BI

Job description

Strategic & Managerial Responsibilities:

• Support the execution of the health insurance cost containment strategy by delivering timely and accurate data insights that align with organizational priorities.
• Proactively identify opportunities to improve data processes, analytics workflows, and reporting tools to enhance fraud, waste, and abuse (FWA) detection capabilities.
• Collaborate with cross-functional teams to contribute to the development and refinement of fraud detection methodologies and healthcare cost optimization initiatives.
• Participate in continuous improvement efforts to elevate data quality and analytical rigor within MIAD Data Analytics.

Core Responsibilities:

• Develop, maintain, and enhance interactive dashboards and detailed reports using Power BI and other visualization tools to monitor provider, clinician, and member utilization patterns for FWA risks.
• Execute complex data extraction, transformation, and analysis workflows using SQL, Power BI, and scripting tools to detect abnormal utilization and potential waste.
• Work closely with senior data scientists to support advanced modelling efforts and ensure data consistency and integrity across analytics projects.
• Prepare clear, concise business insights and presentations that translate technical findings into actionable recommendations for leadership and operational teams.

Quality & Excellence Management:

• Monitor data quality and consistency in all reporting outputs, ensuring adherence to internal standards and regulatory requirements.
• Assist in the development and implementation of quality assurance procedures for data accuracy in reporting and analysis.
• Optimize and document analytics workflows to improve efficiency and reproducibility of results.
• Stay current on emerging FWA trends and healthcare data innovations to enhance analytical responsiveness and accuracy.

People Management Responsibilities:

• Provide guidance and training to business users on data visualization tools and self-service analytics platforms to promote data-driven decision-making.
• Collaborate with team members and stakeholders to facilitate knowledge sharing and support seamless execution of analytics projects.
• Assist in mentoring junior analysts or interns, contributing to their professional development and skill enhancement.

Preferred Educational Qualifications and Professional Certifications

• Bachelor’s degree required; strongly preferred fields are related to Computer Science or Programming, Statistics or Mathematics, Health Economics or Healthcare Management
• Master’s degree or PhD is preferred

Experience

• Minimum 3 years of experience in the healthcare industry data management or data analysis/reports/automations
• Minimum 3 years of experience in applying advanced analytical techniques to decision making in the healthcare/insurance industry incorporating some of the following skills: Data Analytics, Targeting, Optimization, Simulation, Decision Support, Statistics, and/or Mass-Data Analysis. Diversification and depth of subject matter excellence is preferred
• Experience working with medical coding using CPT4 and ICD10 and one of the following coding systems: UCLS, DRG, MOH, HCPCS or SRVC or similar healthcare methodology experience preferred
• Experience in FWA highly desired