Manager, Business Analytics

CVS Health•Woonsocket, RI

5d•$98,571 - $145,860•Remote

About The Position

Caremark, LLC., a CVS Health company, is hiring for the following role in Woonsocket, RI: Manager, Business Analytics to consult with internal clients to identify opportunities to develop and implement data science solutions to business problems by transforming data into meaningful information. Duties include: apply data mining, data modeling, machine learning, statistical analyses, performance metrics, and predictive and descriptive modeling to extract and manipulate data from multiple large data sources and inform solutions for business analytics teams; utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data and effectively communicate insights to inform business decisions; compare modeling techniques using statistical performance metrics and recommend improvements; structure data analysis to drive analytics insights and determine the effectiveness of programs, initiatives, and team performance evaluations; visualize, interpret, and report data findings to internal clients and leadership, and create presentations summarizing results, optimization opportunities, and remediation actions; collaborate with business partners to understand requirements and develop statistical analysis and predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes; design experiments to test hypothesis and quantify impacts of improvement initiatives; design and develop data science solutions using industry leading tools, technologies and best practices; mentor junior team members; independently lead development of solutions with high complexity and risk, and set priorities and strategy for the analytics organization; and consult on the creation of analytics solutions that effectively weigh business strategy and technical tradeoffs relevant to big data environment. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and two (2) years of experience in the job offered or related occupation.
SAS or SQL programming
Visualization tools: PowerBI and Qlikview
Data analytics on large data sets in healthcare, business, or retail sector
Extract/Transform/Load (ETL) processes
Supporting large data, analytics, and technology modernization initiatives
IT and business process controls testing using data analytics and test scripts
BI solutions and dashboarding to inform and streamline audit processes

Responsibilities

Apply data mining, data modeling, machine learning, statistical analyses, performance metrics, and predictive and descriptive modeling to extract and manipulate data from multiple large data sources and inform solutions for business analytics teams.
Utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data and effectively communicate insights to inform business decisions.
Compare modeling techniques using statistical performance metrics and recommend improvements.
Structure data analysis to drive analytics insights and determine the effectiveness of programs, initiatives, and team performance evaluations.
Visualize, interpret, and report data findings to internal clients and leadership, and create presentations summarizing results, optimization opportunities, and remediation actions.
Collaborate with business partners to understand requirements and develop statistical analysis and predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes.
Design experiments to test hypothesis and quantify impacts of improvement initiatives.
Design and develop data science solutions using industry leading tools, technologies and best practices.
Mentor junior team members.
Independently lead development of solutions with high complexity and risk, and set priorities and strategy for the analytics organization.
Consult on the creation of analytics solutions that effectively weigh business strategy and technical tradeoffs relevant to big data environment.