At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr. Analyst, Informatics to Apply statistical techniques and health informatics principles to enhance healthcare data analytics solutions and develop trend reporting for CVS Health business units. Duties include: analyze business requirements and interpret statistical data for analytics initiatives in support of business objectives; collaborate with the data science team to integrate algorithms and data models into automated processes, and build data marts and data models to support internal customers; design data models and solutions for analytical and reporting use cases; develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; identity data trends and factors impacting critical capabilities, and determine appropriate statistical methods based on user needs; utilize programming languages to build robust data pipelines and dynamic systems, "big data" platforms including Hadoop, Azure, GCP, or Spark, and knowledge of Hadoop architecture and HDFS commands to design and optimize queries to build data pipelines; design conformed, aggregated, and semantic data layers, and manipulate large datasets to support analytics insights using SQL, BTEQ, SAS, and similar tools; integrate data from a variety of sources and compare modeling techniques using statistical performance metrics and recommend improvements; structure data analysis to drive analytics insights and help data scientists determine the best solutions; visualize, interpret, and report data findings to internal clients and leadership; collaborate with teams and stakeholders to understand requirements and provide usable information to develop analytics solutions using industry leading tools, technologies and best practices; build high performance data processing frameworks leveraging cloud and/or on-premise data platform; analyze and synthesize data to inform reporting dashboards and meet descriptive/predictive/prescriptive analytic requirements; support modeling/diagramming and build design specifications for data objects and surrounding data processing logic; participate in proof of concepts to build the data layers and concepts to derive analytical insights; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; 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, Information Systems, Data Science, Statistics, Mathematics, Analytics, or a related field and completion of a university-level course, research project, internship, or employment experience in each of the following: Data analytics on large data sets; Marketing data analysis; Visualization tools, including PowerBI, Tableau, or Enlight; SQL or SAS; JIRA, Rally, or Confluence; Version Control System: GitLab, Vault, or Code Promotion Tool; Agile methodologies or SAFe Software Development Principles; Data warehousing; Big Data implementation; and Supporting large data, analytics, and technology modernization initiatives.Pay Range: $104645.00/year to $104645.00/year.This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
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In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit https://jobs.cvshealth.com/us/en/benefits
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.