Sr. Analyst, Business Analytics

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 and 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, including business objectives, data gathering and processing, detailed set of results and analytical metrics. Apply principles and theoretical knowledge and expertise in programming, analytics, data modeling, machine learning algorithms, statistical analysis, data engineering, and data visualization, including advanced analytic techniques such as predictive modeling, regression analysis, A/B testing, and lifetime value. Telecommuting available. Multiple positions. Requirements Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and one (1) year of experience in the job offered or related occupation. One (1) year of experience in each of the following: Python, JSON, JIRA; Amazon Web Services (AWS); MySQL, SQL, PowerBI, Tableau; machine learning, statistical analysis, or predictive modeling; software testing, quality assurance, and troubleshooting; developing backend services, performing code reviews, and collaborating with peers on software development solutions; relational database concepts, software development best practices, and contributing to large‑scale applications development, data science, or data analytics projects; analytics on large data sets in healthcare, business, or retail sector; and designing data models and solutions for analytical and reporting use cases. Pay Range $98,571.00/year to $102,000.00/year. Benefits This position includes an award target in the company’s equity award program and is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. You will also enjoy a comprehensive benefits package including medical, dental, and vision coverage; retirement savings options; wellness and well‑being programs; paid time off, paid holidays, sick leave, and other time‑off benefits in accordance with state law and company policies. Great benefits for great people Additional details about available benefits are provided during the application process and on Benefits Moments. This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr