Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
Position Summary
• Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Explores, examines and interprets large volumes of data in various forms
• Performs analyses of structured and unstructured data to solve moderately complex business problems
• Utilizing advanced statistical techniques and mathematical analyses
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
• Uses data visualization techniques to effectively communicate analytical results and support business decisions
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data
• Explores existing data and recommends additional sources of data for improvements
• Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
• Required Qualifications
• 1+ years of relevant analytic experience
• Experience programming using R or Python
• Experience in SQL
Responsibilities
• Executes measurement techniques against large datasets to understand the performance of a product
• Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Explores, examines and interprets large volumes of data in various forms
• Performs analyses of structured and unstructured data to solve moderately complex business problems
• Utilizing advanced statistical techniques and mathematical analyses
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
• Uses data visualization techniques to effectively communicate analytical results and support business decisions
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data
• Explores existing data and recommends additional sources of data for improvements
• Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
• Able to present information to various audiences
Required Qualifications
• 1+ years of relevant analytic experience
• Experience programming using R and Python
• Experience in SQL
• Effectively resolves problems and roadblocks as they occur
• Demonstrates proficiency in several areas of measurement and evaluation, data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
• Ability to work with large data sets from multiple data sources
• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
• CVS Health requires its Colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, or religious belief that prevents them from being vaccinated
• In some states and roles, you may be required to provide proof of full vaccination before you can begin to actively work
Preferred Qualifications
• Curious mindset with an ability to explore the data and uncover the story
• Experience analyzing data sets to understand the population and impacts
• Demonstrates good written and verbal communication skills. Able to present information to various audiences
• Effectively resolves problems and roadblocks as they occur
• Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
• Ability to work with large data sets from multiple data sources
Education
• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree preferred
Pay Range
The typical pay range for this role is:
$86,520.00 - $173,040.00
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 d
Location: New York, NY
Posted: Aug. 27, 2024, 11:51 p.m.
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