Decision Scientist

The UM Analytics team provides data-driven insights that directly influence clinical and operational decision-making across Aetna's Utilization Management organization. We partner with Medical Affairs leadership, Medical Directors, and operational teams to evaluate care models, identify cost and quality improvement opportunities, and translate complex healthcare data into actionable recommendations. This Decision Scientist will join the Medical Affairs analytics pod, supporting senior analysts and stakeholders in delivering data analyses across a range of Medical Affairs projects. You will contribute to the analytics lifecycle - including data extraction, data validation, analysis execution, and results documentation - working under the guidance of the pod's lead analyst. This is a hands-on, execution-focused role ideal for someone early in their analytics career who is eager to build deep expertise in healthcare data, grow their stakeholder communication skills, and develop toward independent project ownership over time. You will collaborate with team members and cross-functional partners on analyses spanning areas such as care model performance evaluation, clinical program effectiveness, utilization trend analysis, and ad hoc exploratory research.

1+ year of professional experience or internship experience in data analytics, decision science, or a quantitative role

• Working proficiency in SQL for data extraction and manipulation (experience with BigQuery, Teradata, or similar platforms is a plus)

• Familiarity with at least one programming language for data analysis (Python or R)

• Experience working with large datasets and producing analytical outputs (reports, summaries, or visualizations)

• Effective written and verbal communication skills - able to clearly document analytical methods and present findings to team members Preferred Qualifications

• Exposure to healthcare data (claims, clinical, enrollment, or similar) through coursework, internship, or prior employment

• Familiarity with data visualization tools such as Tableau, Power BI, Looker, or similar

• Interest in or foundational knowledge of managed care, health insurance, or utilization management concepts

• Curiosity and willingness to learn new analytical methods, tools, and domain knowledge quickly

• Ability to manage multiple tasks, meet deadlines, and communicate progress proactively

• Experience with basic statistical analysis or coursework in statistics, econometrics, or related quantitative methods Education Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, Public Health, Health Informatics, or related quantitative discipline. Master's degree preferred.

Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $79,310.00 - $158,620.00 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. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on . We anticipate the application window for this opening will close on: 07/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.