Senior Analytics Engineer (SAS to Python Modernization)
About The Position
Senior Analytics Engineer (SAS to Python Modernization) - 100 Percent Remote Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a experienced Electrical Engineer (Journeyman) to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Position Overview We are seeking a Senior Analytics Engineer to support the modernization of legacy SAS-based analytics and reporting workflows within a Business Informatics organization. The role focuses on translating existing SAS programs into scalable, maintainable Python-based analytics solutions while preserving business logic and data accuracy. This is not a traditional software engineering role and not a pure reporting position. The ideal candidate combines strong analytical judgment, hands-on Python data expertise, and the ability to interpret and refactor complex SAS logic into modern analytics pipelines.
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
Nice To Haves
- 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.
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
