BrightvisionRemote
Senior Analytics Engineer ( SAS to Python Modernization)
United States of America
Full Time
2 hours ago
H1B Sponsor
Key skills
PythonSASLegacy analytics modernizationData validationHealthcare analyticsBusiness stakeholder collaborationSQLPandasNumPyAnalyticsBusiness Intelligence
About this role
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking a Senior Analytics Engineer to support the modernization of legacy SAS-based analytics and reporting workflows, translating existing SAS programs into scalable, maintainable Python-based solutions while ensuring data accuracy.
Responsibilities:
- Analyze and interpret existing SAS programs including DATA steps, PROC SQL, and analytical procedures
- Translate SAS-based transformations and analytics into Python using pandas, numpy, and SQL while preserving business logic
- Validate converted outputs by reconciling row counts, aggregations, joins, and derived metrics between SAS and Python
- Partner with Business Informatics stakeholders to understand reporting intent, metric definitions, and downstream usage
- Refactor and simplify legacy logic to improve transparency and reduce technical debt
- Collaborate with data platform and technology teams to align Python solutions with enterprise standards
- Document data transformations, assumptions, and business rules to ensure long-term maintainability
Requirements:
- Strong experience in Python for data analysis (pandas, numpy, SQL integration)
- Working knowledge of SAS with the ability to read and interpret existing SAS code
- Experience modernizing or translating legacy analytics/reporting logic
- Solid understanding of analytics concepts including joins, aggregations, time-based logic, and derived metrics
- Experience validating analytical outputs and ensuring data accuracy
- Ability to translate business analytical requirements into technical implementations
- Experience in healthcare, payer, or regulated data environments
- Familiarity with SAS macros and common PROC workflows
- Exposure to modern data platforms or cloud-based analytics environments
- Background in analytics engineering, business intelligence, or data transformation roles