• Data Analytics & Business Insights
• Responsibility of data collection/ Procurement through SAS/ data ware house, preprocessing and analysis
• Task of preprocessing of structured and unstructured data
• Develop complex technical rules/scenarios to maximize the effectiveness of fraud detection and prevention programs. Analyze fraud detection alerts and assess need for further investigation
• Research / Survey activity regarding Fraud and Risk
• Interpreting data, analyzing results using statistical techniques, interpret trends or patterns in complex data sets and provide ongoing reports
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Acquiring data from primary or secondary data sources and maintaining databases
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key decisions.

2. System Validations and Rule Engine

• Building Analytical models to address business problems
• Presenting information using data visualization techniques
• Analytics related to claims/Dashboard reporting
• Work collaboratively with a diverse team of operational agents, fraud risk manager, data analysts/scientists, business insight analysts, subject matter experts
• Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects
• Develop complex technical rules/scenarios to maximize the effectiveness of fraud detection and prevention programs. Analyze fraud detection alerts and assess need for further investigation
• Preparing the data points for Projection / Budget calculations for the AOP Targets
• Locate and define new process improvement opportunities

HO

1

• Overall experience 2+ years as a Data Analyst and Scientist.

HO

• Engineering Degree (B.E.), Professional education in Data Analytics

• Overall experience 2+ years as a Data Analyst and Scientist.

1 to 3 Years

Data Analyst – Health