Manager, Business Analytics

CVS Health is a company dedicated to shaping a more connected and compassionate health experience. They are seeking a Manager, Business Analytics to apply statistical techniques and develop data analytics solutions to provide usable business information, while collaborating cross-functionally to improve processes impacting client financial performance.

Responsibilities:

• Apply principles and techniques of mathematical and statistical analysis to analyze and interpret data and support large analytics projects
• Perform monthly data pulls and review performance metrics to identify and mitigate financial risk to the organization
• Collaborate cross-functionally with underwriting, finance, and accounting teams to understand gaps and improve processes that impact client financial performance
• Act as an analytics product owner and translate business needs into data analytics projects and actions
• Consult with internal clients to identify opportunities for data analytics solutions to solve business problems and support projects through business case development, data exploration, model building, experiment design, and performance evaluation
• Design experiments to test hypothesis and quantify impacts of improvement initiatives
• Summarize and report results of statistical analyses and create presentations to inform business partners and leadership teams on optimization opportunities
• Design and implement robust analytic and reporting solutions using SAS, SQL, Access, and Excel
• Structure data analysis, identify trends and factors impacting results, understand key drivers of business value, and translate into analytical problems
• Develop predictive modeling, statistical analysis, data reports, mathematical analysis methods, and performance metrics
• Create data analytics solutions that effectively weigh business and technical tradeoffs using an advanced understanding of business strategy as well as relevant big data environment topics
• Perform lookback analysis to review underwriting assumptions, contract language, and actual results, and provide data-driven recommendations to senior leadership
• Leverage expertise in mathematical methods, statistical analyses, predictive and descriptive modeling, sampling techniques, and data collection methods, and evaluate sources of information to determine limitations, reliability, and usability
• Develop reporting packages and presentations for management to recommend software applications for statistical modeling and graphic analysis and analytics best practices
• Provide advanced statistical analytics support to drive data-driven decision making and organizational goals

Requirements:

• Master's degree (or foreign equivalent) in Statistics, Mathematics, Business Analytics, Data Science, or a related field
• two (2) years of experience in the job offered or related occupation
• two (2) years of experience in Data analytics on large data sets in healthcare, business, or retail sector
• two (2) years of experience in SAS or SQL
• two (2) years of experience in JIRA, Rally, or Confluence
• two (2) years of experience in Visualization tools, including PowerBI or Tableau
• two (2) years of experience in Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
• two (2) years of experience in Statistical analysis
• two (2) years of experience in Extract/Transform/Load (ETL) processes
• two (2) years of experience in Designing data models and solutions for analytical and reporting use cases
• two (2) years of experience in Supporting large data, analytics, and technology modernization initiatives
• two (2) years of experience in Microsoft Office Suite, including MS Access
• two (2) years of experience in MS Excel, including writing advanced Excel formulas and using conditional, vlookups/hlookups, sorting and filtering, array formulas, and VBA macros, pivot reporting, and conditional formatting
• six (6) months of experience in Data warehousing
• six (6) months of experience in Domain support for healthcare or retail organization