Health Data Insights Lead - SQL, Python & ETL

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

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Wellness programs

Employee discounts

Job summary

CVS Health is seeking a Senior Data Insights Specialist to analyze network changes using SQL, Excel, Dataiku, and Python. You will drive reporting, identify disruptions affecting clients, and develop solutions to retain and win business across multiple lines of business within the pharmacy network.

The role requires strong analytical skills, experience with ETL processes, and the ability to manage multiple priorities in a fast-paced healthcare environment, with a focus on actionable insights for

Qualifications

• Experience in SQL, Microsoft Excel, and other relevant applications.
• Experience with data cleaning, transformation, and/or ETL.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.

Responsibilities

• Use SQL, Excel, Dataiku, Python and related tools to analyze disruption to existing and potential clients when network changes occur.
• Develop new reporting solutions to simplify reporting processes and produce both standard and custom reports for multiple lines of business and clients.
• Communicate insights and recommendations to internal teams and external clients to support decision-making in retail pharmacy network accessibility.

Skills

SQL

Microsoft Excel

Python

ETL

Data cleaning

Analytical thinking

Client interaction

Education

Bachelor's degree in Computer Science, Information Technology, Data Analytics, or related field

Tools

Dataiku

Salesforce

Alteryx

Job description

CVS Health is seeking a Senior Data Insights Specialist to analyze network changes using SQL, Excel, Dataiku, and Python. You will drive reporting, identify disruptions affecting clients, and develop solutions to retain and win business across multiple lines of business within the pharmacy network.

The role requires strong analytical skills, experience with ETL processes, and the ability to manage multiple priorities in a fast-paced healthcare environment, with a focus on actionable insights for