Manager - Business Intelligence

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

• Champion in, in coordination with regional analytics team and local IT team, developing the followings to serve BAU and health business - Aggregated E2E production ready data set (policy-view and customer-view) from DWH to serve as a central data repository for analytics and performance report purpose for BAU and Health Business

• Structure & Non structure profile data enrichment
• Initiate data mining techniques, and perform statistical analysis, and build high quality prediction model for new innovation of BAU and Health Business i.e. health at risk prediction model, claim cost reduction model
• Transform data into insights through the use of data analytics, visualization, and advanced predictive modeling techniques and technologies and identify trends for business decision
• Bring in automation process and deliver enterprise-wide reporting applying analytics and visualization to create easy-to-understand reports and dashboard for further business decision
• Closely coordinate with local IT to check the completeness of data and ensure data consistency between sources
• Control and monitor data governance to ensure data integrity is in place

About Cigna

Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you’ll enjoy meaningful career experiences that enrich people’s lives. What difference will you make?