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 Description

CVS Health offers an exciting opportunity to join our PBM Finance Enablement Team as a Data Scientist, Finance Analytics within the Business Intelligence and Advanced Analytics team. You will be working across our PBM Finance department as we look to transform our business through unlocking the value of PBM rebate and financial operations data and maturing our analytic capabilities.

You will be responsible for developing advanced data and analytics products which identify actionable insights and deliver measurable value. This role requires aptitude to identify drivers and essential metrics and will entail developing advanced data models, analyses, and visualizations to empower our financial business stakeholders at all organizational levels. You will be expected to support our business partners across a multitude of systems and applications to help deliver on our commitments in a more efficient manner.

To be successful in this role you need to be a self-starter with well-developed critical thinking skills and strong relationship building, communication, and presentation skills, and a strong drive for fostering collaboration, knowledge sharing, and continuous improvement. You should enjoy working on difficult problems, have experience with advanced statistical/mathematical analysis, and possess excellent data engineering, business intelligence, and business analytics skills.

Key Responsibilities

• Develop, validate, and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

• Explore, examine, and interpret large volumes of data in various forms, and apply advanced statistical techniques and mathematical analyses to solve complex business problems.

• Develop data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs.

• Leverage data visualization techniques to present recommendations and inform business decisions.

• Translate opportunities into clear business requirements and technical specifications.

• Ensure accuracy and quality of deliverables, applying high standards for quality control throughout the development cycle.

• Ensure consistent and clear documentation for all production-ready solutions.

• Continuously evaluate/evolve processes, best practices, and tools around data analysis, visualization, and storytelling, bringing the most effective to bear.

Required Qualifications

• 3+ years of experience in business analytics, business intelligence, and/or data science

• 3+ years of development experience in SQL, Python, and/or R

• 3+ years of experience with Data warehouse platforms (SQL Server, Teradata, Oracle, etc.) and/or cloud platforms (GCP, Azure, etc.)

• 2+ years of experience working with complex, disparate data sets and performing descriptive, diagnostic, and/or predictive analytics, preferably with healthcare data

• 2+ years of experience with BI tools, such as Tableau, Power BI, MicroStrategy, or others

• 2+ year of experience using ETL, data mining, and/or data wrangling tools (Alteryx, Trifacta, etc.)

Preferred Qualifications

• Prior healthcare and/or finance experience and domain knowledge, especially within the health insurance, PBM, or pharmacy services sectors

• Demonstrated ability to convert business needs into analytics solutions, accounting for business requirements, data availability, development time / complexity, and scalability

• Excellent verbal / written communication and presentation skills with the ability to influence at multiple levels of the organization

• Experience with pipeline engineering technology (Airflow, Spark, Kubernetes, etc.)

• Strong working knowledge of Office 365 applications  

Education

• Bachelor’s degree in a quantitative or analytical field, or equivalent work experience

• Master’s degree in quantitative field or MBA preferred

Pay Range

The typical pay range for this role is:

$75,705.00 - $154,500.00

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 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. 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 jobs.CVSHealth.com/benefits

We anticipate the application window for this opening will close on: 05/31/2024

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.