American Recruiting & Consulting Group

Compensation

Full Description

Senior Analytics Engineer (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior Analytics Engineer ! This is starting out as a 12 month contract position with potential to extend longer or possibly convert to FTE. This is a fantastic opportunity to join a dynamic and well-respected organization offering tremendous career growth potential. 100 Percent Remote 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)