This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
Consult with internal clients to identify opportunities to develop and implement data science solutions to business problems by transforming data into meaningful information
apply data mining, data modeling, machine learning, statistical analyses, performance metrics, and predictive and descriptive modeling to extract and manipulate data from multiple large data sources and inform solutions for business analytics teams
utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data and effectively communicate insights to inform business decisions
compare modeling techniques using statistical performance metrics and recommend improvements
structure data analysis to drive analytics insights and determine the effectiveness of programs, initiatives, and team performance evaluations
visualize, interpret, and report data findings to internal clients and leadership, and create presentations summarizing results, optimization opportunities, and remediation actions
collaborate with business partners to understand requirements and develop statistical analysis and predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes
design experiments to test hypothesis and quantify impacts of improvement initiatives
design and develop data science solutions using industry leading tools, technologies and best practices
mentor junior team members
independently lead development of solutions with high complexity and risk, and set priorities and strategy for the analytics organization
consult on the creation of analytics solutions that effectively weigh business strategy and technical tradeoffs relevant to big data environment
Requirements:
Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field and two (2) years of experience in the job offered or related occupation
Requires two (2) years of experience in each of the following: Data analytics on large data sets in healthcare, business, or retail sector
Capacity planning
Statistical analysis
Agile methodologies or SAFe Software Development Principles
Oracle, Teradata, or DB2
Relational database concepts
Extract/Transform/Load (ETL) processes
Designing data models and solutions for analytical and reporting use cases
Data warehousing
Quantitative analysis techniques, including clustering, regression, and pattern recognition
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
What we offer:
Full range of medical, dental, and vision benefits
Welcome to CrawlJobs.com – Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
We use cookies to enhance your experience, analyze traffic, and serve personalized content. By clicking “Accept”, you agree to the use of cookies.