CVS Health is the leading health solutions company, delivering care like no one else can. We reach more people and improve the health of communities across America through our local presence, digital channels and over 300,000 dedicated colleagues.

Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by simplifying health care one person, one family and one community at a time.

Duties include: develop predictive data modeling/engineering, reports, and performance metrics;

create business analytics solutions that effectively weigh tradeoffs in context of relevant big data environment topics and business operations;

recommend data modeling and engineering techniques;

research, manipulate, and prepare data to document program activities and reports on its results;

responsible for data quality and provide feedback to various areas in order to improve service delivery and enhancement to design efforts;

design and implement robust analytic and reporting software solutions to support identified needs;

work on data exploration, model building, experiment design, and performance evaluation; planning, development, and validation of master or detail test plans and strategies;

act as a business technical expert in the design of new applications or enhancements including integration of solutions;

influence enhancements to business processes and system infrastructure to improve data quality availability and access;

analyze data for trends, highlight in-depth interpretations and provide in-depth root cause analysis;

translate into constructive data and information and make recommendations; define, identify, develop, and implement information products to support strategic business and operational planning;

influence changes/enhancements to business processes, policies, and system infrastructure to improve information quality, availability and access; evaluate software and data to deliver better business solutions;

leverage SQL to quickly perform analyses on data sets to solve business problems and guide data scientists and data engineers on more advanced analyses; design experiments to test hypothesis and quantify impacts of improvement initiatives;

and summarize results and create presentations to inform business partners and leadership teams of periodic results, optimization opportunities and/or remediation actions.

Requirements: Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and six (6) months of experience in the job offered or related occupation.

Requires six (6) months of experience in each of the following: JIRA and Confluence;

Agile methodologies or SAFe Software Development Principles;

Testing, quality assurance, and troubleshooting; Analyzing large data sets from multiple data sources;

Statistical analysis and predictive modeling; SQL programming languages;

Visualization tools, including PowerBI or Tableau;

and 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.