Sr. Manager, Informatics

CVS Health•Hartford, CT

4d•$105,997 - $149,328•Remote

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. Aetna Resources, LLC., a CVS Health company, is hiring for the following role in Hartford, CT: Sr. Manager, Informatics to consult with internal stakeholders to identify opportunities to develop and implement data science solutions to business problems by transforming data into meaningful information.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Business Analytics, Computer Information Systems, Engineering, or a related field and two (2) years of experience in the job offered or a related occupation.
Two (2) years of experience with SQL or SAS.
Two (2) years of experience with Visualization tools, including PowerBI or Tableau.
Two (2) years of experience with Data analytics on large data sets in healthcare, business, or retail sector.
Two (2) years of experience with Extract/Transform/Load (ETL) processes.
Completion of a university-level course, internship or 6 month of experience involving Data analytics on large data sets in healthcare, business ore retail sector.
Completion of a university-level course, internship or 6 month of experience involving Relational database concepts.
Completion of a university-level course, internship or 6 month of experience involving Machine learning, statistical analysis, predictive modeling.
Completion of a university-level course, internship or 6 month of experience involving Python or R.
Completion of a university-level course, internship or 6 month of experience involving Hadoop.

Responsibilities

Design and develop new analytical and reporting capabilities to support health care policy, benefits, and business operations using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business.
Generate reports for business leaders and stakeholders to support strategic objectives, and synthesize trend data to support recommendations that improve overall population health.
Develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes.
Utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity).
Utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems.
Visualize and interpret data and create reports, manipulate data using statistical software, and compare models using statistical performance metrics.
Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses.