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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.

The combination of CVS Health and Aetna was a groundbreaking moment for our company and industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans, and community pharmacists, we’re pioneering a bold new approach to total health.

Do you want to drive the next level of growth for a leading national B2C healthcare brand, impacting millions of prospects and members? We’re seeking innovative leaders to accelerate growth in Aetna’s Medicare Business by leveraging consumer marketing, sales, and product design powered by data science and consulting expertise.

Our Medicare Analytics team is integral to Aetna’s go-to-market strategies, including growth planning, business case development, customer segmentation, product design, media mix optimization, attribution modeling, and member retention. Using advanced machine learning techniques and petabytes of data, we infuse analytics into every aspect of our growth initiatives.

You’ll help us shape the future by solving complex problems, driving quantitative analysis, and delivering data-driven insights that power tomorrow’s business innovations.

Key Responsibilities

+ Work closely with our Marketing and Sales partners to inform Aetna’s Medicare member growth strategy through analytics – e.g., customer segmentation, test design, forecasting, what-if scenarios, and more

+ Develop compelling data stories using the latest visualization tools to deliver insights

+ Collect, aggregate, and analyze data from internal and external sources to generate insights that drive business performance

+ Create actionable reports and dashboards highlighting key performance indicators, areas for improvement, and root cause analyses

+ Build and automate data pipelines to train and score machine learning models, build analytics data lakes, and power automated data visualization tools

Required Qualifications

+ 3+ years of professional experience in data analytics, machine learning, BI, data engineering, or applied data science

+ 3+ years of experience using with SQL and Python/R for data analysis

+ 2+ years of experience using statistical techniques on complex data to solve business problems

+ **Proven track record of leveraging data to influence cross-functional stakeholders, partners, and leadership to drive decisions**

+ Ability to clearly articulate and communicate complex problems and solutions in a simple, logical, and impactful manner

+ 2+ years of experience with data visualization tools such as Tableau, R Shiny, or Power BI

+ 1+ years of demonstrated ability to manage relationships with technical and non-technical stakeholders

Preferred Qualifications

+ 5+ years of professional experience in data analytics, machine learning, BI, data engineering, or applied data science

+ 5+ years of experience in marketing analytics or management consulting

+ 5+ years of experience using with SQL and Python/R for data analysis

+ 3+ years of experience using statistical techniques on complex data to solve business problems

+ Proven track record of leveraging data to influence cross-functional stakeholders, partners, and leadership to drive decisions

+ Ability to clearly articulate and communicate complex problems and solutions in a simple, logical, and impactful manner

+ 3+ years of experience with data visualization tools such as Tableau, R Shiny, or Power BI

+ 3+ years of demonstrated ability to manage relationships with technical and non-technical stakeholders

Education

+ Bachelor’s degree in a business or quantitative field, or equivalent formal education and experience

+ Master’s degree in a business or quantitative field preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$111,240.00 - $222,480.00

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 our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .

+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 05/15/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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.