Senior Healthcare Analytics Consultant

CVS Health; Illinois; Hybrid; USD 47,000 - 112,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Analyst, Analytic Services to deliver data-driven insights that support pharmacy and healthcare strategies. This role blends analytics, business consulting, and client engagement across sales, clinical, account management, finance, underwriting, operations and product marketing.

You will translate business questions into analytical tasks, develop meaningful visualizations, ensure data quality, and advise on process improvements.

Qualifications

• Minimum 2 years of analytics, business analysis, or a related quantitative field.
• Background in data analytics, statistics, mathematics, finance, economics, or related fields.
• Strong analytical and problem-solving capabilities.
• Ability to work independently in a fast-paced environment.
• Excellent communication and interpersonal skills.

Responsibilities

• Apply advanced analytical methods like predictive and prescriptive analytics to forecast outcomes and identify trends.
• Translate business questions into analytical tasks and deliver insights.
• Design basic data visualization tools to effectively communicate information.
• Ensure data protection, confidentiality and security of sensitive information.
• Collaborate with clients and internal stakeholders to support strategic healthcare initiatives.

Skills

Analytics

Data-driven decision making

Communication

Independent work

Education

Bachelor's Degree

Tools

Dataiku

Google Cloud

SQL

Python

SAS

Job description

CVS Health is seeking a Senior Analyst, Analytic Services to deliver data-driven insights that support pharmacy and healthcare strategies. This role blends analytics, business consulting, and client engagement across sales, clinical, account management, finance, underwriting, operations and product marketing.

You will translate business questions into analytical tasks, develop meaningful visualizations, ensure data quality, and advise on process improvements.