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