Senior Analytics Engineer (SAS to Python Modernization)

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)

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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.

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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

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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

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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

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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)