Senior Analytics Engineer (SAS to Python Modernization)

Techgene Solutions is seeking a Senior Analytics Engineer to support the modernization of analytics and reporting workflows within a Business Informatics organization. This role will focus on translating and enhancing existing SAS-based analytics into Python-based solutions while collaborating with business stakeholders and analytics teams.

Responsibilities:

• Analyze and interpret existing SAS programs, including DATA steps, PROC SQL, and common analytical procedures
• Translate SAS-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic and output accuracy
• Partner with Business Informatics stakeholders to understand reporting intent, metrics, and downstream usage
• Validate converted logic by reconciling outputs, row counts, and aggregations between SAS and Python
• Improve existing analytics pipelines by simplifying logic, increasing transparency, and reducing technical debt
• Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards
• Document business logic, assumptions, and data transformations for long-term maintainability

Requirements:

• Strong experience with Python for data analysis including pandas, numpy, and SQL integration
• Working knowledge of SAS with the ability to confidently read and interpret existing SAS code
• Experience translating or modernizing legacy analytics or reporting logic
• Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics
• Ability to work closely with business users and translate analytical requirements into technical solutions
• Experience validating analytical outputs and ensuring data accuracy
• Experience in healthcare, payer, or regulated data environments
• Familiarity with SAS macros and common PROC workflows
• Exposure to cloud-based analytics platforms or modern data stacks
• Experience supporting Business Intelligence, reporting, or informatics teams
• Background in analytics engineering or data transformation roles