Manager, Business Analytics

CVS Health•Woonsocket, RI

5d•$72,384 - $145,860•Hybrid

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Manager, Business Analytics to Apply statistical techniques, analyze user needs, and develop data analytics solutions to summarize data and provide usable business information.

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

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 datadriven 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