Senior Healthcare Data & Analytics Lead

Centene Corp.; Missouri; On-site; USD 87,700 - 157,800; Full time

Benefits offered by this job

Health insurance

401K

Stock purchase plan

Tuition reimbursement

Paid time off + holidays

Remote/hybrid/office flexibility

Job summary

Centene Corp. is seeking a Senior Business Technical Analyst to translate Medicare Advantage and Medicaid Risk Adjustment requirements into robust SAS/SQL solutions. You will partner with analysts, IT, and vendors to deliver production-ready data workflows and future Snowflake capabilities.

The role emphasizes data integration across claims, enrollment, provider, pharmacy and clinical data, with modernized Snowflake architecture and validated data quality frameworks.

Qualifications

• Requires a Bachelor’s Degree in a related field or equivalent work experience.
• Experience translating Medicare Advantage/Medicaid requirements into technical specs.
• 4+ years of programming in SAS/SQL and data platforms.

Responsibilities

• Translate business requirements for Medicare Advantage and Medicaid Risk Adjustment into production-ready SAS/SQL code and data workflows.
• Modernize SAS ETL workflows into Snowflake architecture using Snowflake SQL, Snowpark Python, and orchestration concepts.
• Develop scalable, multi-user data assets by integrating claims, enrollment, provider, pharmacy, and clinical data.

Skills

SAS

SQL

Snowflake

Healthcare data integration

Data quality

Regulatory compliance

Documentation

Education

Bachelor's Degree in related field

Tools

SAS

Snowflake

Snowpark Python

SQL

Job description

Centene Corp. is seeking a Senior Business Technical Analyst to translate Medicare Advantage and Medicaid Risk Adjustment requirements into robust SAS/SQL solutions. You will partner with analysts, IT, and vendors to deliver production-ready data workflows and future Snowflake capabilities.

The role emphasizes data integration across claims, enrollment, provider, pharmacy and clinical data, with modernized Snowflake architecture and validated data quality frameworks.