Sr Analytics Engineer - Remote

Senior Analytics Engineer

ARC Group has an immediate opportunity for a Senior Analytics Engineer! This position is 100% remote working eastern time zone business hours. This is starting out as a 6 month contract position with potential to extend longer. This is a fantastic opportunity to join a well-respected organization offering tremendous career growth potential. At ARC Group, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected.

We believe that diverse perspectives lead to better innovation and problem-solving. As an organization, we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply.

Candidates must currently have PERMANENT US work authorization. Sorry, but we are not considering any candidates from outside companies for this position (no C2C, 3rd party/brokering). We are seeking a Senior Analytics Engineer to support the modernization of analytics and reporting workflows within a Business Informatics organization. This role will focus on translating and enhancing existing SAS-based analytics into Python-based solutions while partnering closely with business stakeholders, analytics teams, and technology partners.

This is not a pure software engineering role and not a traditional reporting analyst role. The ideal candidate brings strong analytical judgment, fluency in Python, and the ability to confidently interpret and refactor SAS logic into modern, maintainable analytics code.

Key Responsibilities:

• Analyze and interpret existing SAS programs, including DATA steps, PROC SQL, and common analytical procedures
• Translate SAS-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic and output accuracy
• Partner with Business Informatics stakeholders to understand reporting intent, metrics, and downstream usage
• Validate converted logic by reconciling outputs, row counts, and aggregations between SAS and Python
• Improve existing analytics pipelines by simplifying logic, increasing transparency, and reducing technical debt
• Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards
• Document business logic, assumptions, and data transformations for long-term maintainability

Key

Skills:

• Strong experience with Python for data analysis including pandas, numpy, and SQL integration
• Working knowledge of SAS with ability to confidently read and interpret existing SAS code
• Experience translating or modernizing legacy analytics or reporting logic
• Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics
• Ability to work closely with business users and translate analytical requirements into technical solutions
• Experience validating analytical outputs and ensuring data accuracy

Preferred Qualifications:

• Experience in healthcare, payer, or regulated data environments Familiarity with SAS macros and common PROC workflows
• Exposure to cloud-based analytics platforms or modern data stacks
• Experience supporting Business Intelligence, reporting, or informatics teams
• Background in analytics engineering or data transformation roles