✦ Luna Orbit — Data & Analytics

Senior Analytics Engineer (SAS to Python Modernization)

at American Recruiting & Consulting Group

📍 Remote, US Remote Posted March 13, 2026
Type Contract
Experience senior
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

A senior analytics engineer role focused on translating legacy SAS analytics into modern Python solutions, ensuring data accuracy and business logic preservation.

  • Analyze SAS programs
  • Translate SAS to Python
  • Validate outputs
  • Refactor legacy logic
  • Collaborate with stakeholders

Environment involves SAS, Python, pandas, numpy, SQL, with a focus on data validation, legacy code refactoring, and analytics modernization.

The ideal candidate is a senior analytics engineer with extensive experience in translating legacy SAS workflows into Python-based solutions. They possess strong data validation skills, experience with data reconciliation, and the ability to collaborate with business stakeholders to modernize analytics pipelines.

Python (pandasnumpySQL)SAS (DATA stepPROC SQLMacros)Experience modernizing or translating legacy analytics/reporting logicData validation and reconciliationAbility to interpret complex SAS code
Healthcare data experienceCloud analytics environmentsBusiness intelligenceData pipelines
SASPythonpandasnumpySQL
PythonpandasnumpySQLSASDATA stepPROC SQLMacrosData validationData reconciliation
PythonpandasnumpySQLSASDATA stepPROC SQLMacrosData validationData reconciliation
analytical judgmentbusiness stakeholder collaborationrefactoring legacy logictechnical documentationproblem-solving
Industry SaaS / Analytics / Data Platforms
Job Function Modernize legacy analytics workflows and ensure data accuracy
Senior Analytics EngineerPythonpandasnumpySQLSASDATA stepPROC SQLMacrosData validationData reconciliationlegacy analytics modernizationbusiness logicdata accuracyrefactoranalytical workflowsdata validationdata reconciliationlegacy analytics

Lack of experience with SAS and Python, Inability to interpret SAS code, No data validation experience, No experience with legacy analytics modernization

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