Analytics Engineer

Hello, Please share resume Job Role- Analytics Engineer Remote 6-12 Months+ Senior Analytics Engineer (SAS to Python Modernization) 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. Key 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 Required Qualifications · 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 Preferred Qualifications · 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 Key Skills · Python (pandas, numpy, SQL) · SAS (DATA step, PROC SQL, Macros) · Legacy analytics modernization · Data validation and reconciliation · Business stakeholder collaboration · Healthcare analytics (preferred)