ARC Group is a Forbes-ranked top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed. At ARC Group, 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.
Senior Analytics Engineer (SAS to Python Modernization)
Location
United States
Posted
1 day ago
Salary
Not specified
No structured requirement data.
Job 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)
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