Business Analyst – SAS to Python Migration

Role Overview

We are seeking a detail-oriented Business Systems Analyst (BSA) to lead the migration of legacy SAS processes to modern Python-based solutions. This role will act as a critical bridge between technical teams and business stakeholders, ensuring seamless transition of complex business logic while maintaining alignment with operational, compliance, and performance requirements.

Core Responsibilities

• Stakeholder Collaboration Facilitate communication between technical teams (developers, data engineers) and business process owners to translate SAS-based workflows into Python solutions.
• Business Logic Extraction Analyze and document existing SAS code, macros, and analytical processes to identify critical business rules, data dependencies, and validation requirements for migration.
• Business Sign-Off Management Coordinate user acceptance testing (UAT) and secure formal approval from stakeholders prior to deployment.
• Documentation Knowledge Transfer Create user guides, process flow diagrams, and training materials to support post-migration operations and ensure continuity.
• Quality Assurance Support Collaborate with QA teams to validate system functionality, identify defects, and enforce adherence to financial services compliance requirements.

Required Skills & Qualifications

• 3 years of business analysis experience in financial services or data-intensive environments.
• Proven expertise in SAS (Base, Macros, SQL) and hands-on experience with Python (Pandas, NumPy, Scikit-learn) or similar tools for data analytics migration projects.
• Strong SQL skills for data validation, querying, and troubleshooting.
• Experience with system migration modernization projects, including requirements gathering, gap analysis, and stakeholder alignment.
• Familiarity with financial analytics reporting systems and regulatory standards (e.g., SOX, GDPR).
• Exceptional communication skills to simplify technical concepts for non-technical audiences.
• Proficiency in process documentation (e.g., BPMN, flowcharts) and quality assurance methodologies (e.g., Agile Waterfall testing cycles).

Preferred Qualifications

• Certification in business analysis (e.g., CBAP, CCBA) or data science (e.g., Python SAS certifications).
• Prior involvement in SAS-to-Python migration projects or legacy system modernization.
• Knowledge of version control (Git), CICD pipelines, or cloud platforms (AWS Azure).