Senior Analytics Engineer; SAS to Python Modernization

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% Remote

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.

• 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.

• 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.

• 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.

• Python (pandas, numpy, SQL)
• SAS (DATA step, PROC SQL, Macros)
• Legacy analytics modernization
• Data validation and reconciliation
• Business stakeholder collaboration
• Healthcare analytics (preferred)

Tags: #SAS #Num Py #Data Analysis #Data Accuracy #Python #BI (Business Intelligence) #SQL (Structured Query Language) #Macros #Data Transformations #Scala #Pandas #Cloud #ETL (Extract #Transform #Load)