Senior Analytics Engineer ( SAS to Python Modernization)

Bright Vision Technologies

2d•Remote

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. Role: Senior Analytics Engineer 100 Percent Remote 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. At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position offered by “No Fee agency.” Equal Employment Opportunity (EEO) Statement BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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

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