Senior Developer Analyst – Big Data & Risk Adjustment

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.

Job Description:
The Revenue Integrity- Advanced Cloud Engineering seeking a Senior Developer Analyst with expertise in big data analysis, dashboard development, and managed healthcare, particularly in Healthcare Risk adjustment. This role requires a highly analytical and technical professional who can lead complex data analysis efforts, perform root cause analysis, ensure reporting accuracy, and drive strategic decision-making. The ideal candidate will have a strong background working in a cloud-based environment, preferably AWS along with proven dashboard development, SQL, Python, and PySpark skills, a keen eye for detail, and deliver high-quality results within tight timelines. Knowledge or experience with machine learning, data modeling, LLMs, Databricks, and Amazon Sagemaker is a plus.

Key Responsibilities:

• Design, develop, and maintain advanced dashboards and reporting solutions using AWS QuickSight.
• Lead the analysis and interpretation of large-scale healthcare data, identifying trends and actionable insights.
• Perform root cause analysis to troubleshoot data discrepancies and identify areas for improvement.
• Audit and verify the accuracy of reporting against source data to ensure data integrity and compliance.
• Apply statistical and analytical techniques to assess patterns and anomalies.
• Write and optimize complex SQL queries for efficient data extraction, transformation, and analysis.
• Develop and implement scalable Python/PySpark-based data processing solutions for big data environments.
• Ensure data integrity, validation, and compliance with healthcare industry standards and regulations.
• Document methodologies, processes, and findings to support knowledge sharing and operational efficiency.
• Collaborate with business and technical teams to define data requirements and ensure alignment with strategic goals.
• Mentor junior team members and provide guidance on best practices in data analysis, reporting accuracy, and data validation.

Required Skills and Qualifications:

• 5+ years of experience in data analysis and reporting.
• Experience working in cloud environments, preferably AWS.
• Expertise in AWS QuickSight, Tableau, or Power BI for developing advanced dashboards.
• Experience working in cloud environments, particularly with AWS services like S3, Glue, and Athena.
• Strong expertise in SQL for managing and analyzing large datasets.
• Proficiency in Python and PySpark for data processing and advanced analytics.
• Experience working with big data technologies and cloud-based data solutions (AWS preferred).
• Deep understanding of managed healthcare, particularly risk adjustment methodologies.
• Strong background in statistical analysis and predictive modeling.
• Experience conducting root cause analysis to diagnose data issues and improve reporting accuracy.
• Proven attention to detail in handling and interpreting large datasets.
• Ability to lead projects in an Agile environment and drive cross-functional collaboration.
• Excellent problem-solving skills and ability to manage multiple priorities effectively.
• Strong understanding of Agile methodology and familiarity with tools like Rally or Jira.

Preferred Qualifications:

• Experience leading data strategy and analytics initiatives in healthcare.
• Experience with big data technologies and ETL processes.
• Hands-on-experience with machine learning techniques, data modeling, LLMs, Databricks, and Amazon Sagemaker.
• Managed Healthcare experience or knowledge of health insurance concepts, preferably Risk adjustment.
• Strong communication and presentation skills, with the ability to explain complex data insights to stakeholders.

Education:

• Bachelor's degree in Computer Science, Engineering, Math, Statistics, or a related field or equivalent work experience.

Pay Range

The typical pay range for this role is:

$130,295.00 - $260,590.00

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.  This position also includes an award target in the company’s equity award program. 
 

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: 04/08/2025

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