Sr. Analyst, Business Analytics

Skip to main content Sr. Analyst, Business Analytics CVS Health Woonsocket, RI Apply Join or sign in to find your next job Join to apply for the Sr. Analyst, Business Analytics role at CVS Health Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sr. Analyst, Business Analytics CVS Health Woonsocket, RI 11 hours ago 49 applicants See who CVS Health has hired for this role Apply Join or sign in to find your next job Join to apply for the Sr. Analyst, Business Analytics role at CVS Health Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job 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: Aetna Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr. Analyst, Business Analytics to Apply statistical techniques, analyze user needs, and develop data analytics solutions to summarize data and provide usable business information. Duties include: build industry-leading analytics, data, and technology platforms, delivering powerful solutions that inform network strategy and design, improve network performance and provider engagement, develop new provider offerings, and enhance consumer experience; apply principles and techniques to solve problems, drive impact, and deliver key insights by leveraging innovations in data science, machine and deep learning, and predictive modeling; implement data and deploy robust solutions through development, validation, and delivery of algorithms, statistical models, and reporting tools; explore, examine, and interpret large volumes of data in various forms; analyze structured and unstructured data to solve business problems; develop data structures and pipelines to organize, collect, and standardize data that generate insights and address reporting needs; collaborate with business partners to understand their problems and goals, develop predictive modeling, data analysis, data reports, and performance metrics; apply data visualization techniques to communicate analytical results and support business decisions; document projects,...