Senior SAS Data Analyst – GCP Migration

About the Role We are looking for a Senior SAS Data Analyst to lead the assessment of existing SAS environments and support the migration of analytical workloads to Google Cloud Platform (GCP). The role involves analyzing SAS jobs, data flows, and dependencies to design efficient, cloud-native solutions. Key Responsibilities • Assess current SAS landscape – jobs, macros, stored processes, and data flows. • Perform data lineage and dependency mapping across systems. • Document business logic, transformation rules, and process flows. • Identify optimization opportunities before migration. • Partner with architects to design target-state solutions on GCP (BigQuery, DataProc, GCS, Airflow). • Support SAS-to-GCP migration planning and risk assessment. • Collaborate with SMEs and business users for validation and reconciliation. • Mentor junior analysts on SAS and data analysis best practices. Required Skills & Experience • 10+ years of experience as a Data Analyst/Programmer with strong SAS skills (Base SAS, Macros, SAS SQL). • Proven experience in data lineage, impact analysis, and SAS documentation. • Strong SQL skills with RDBMS (Oracle, Teradata, SQL Server). • Prior exposure to migration or modernization projects. • Familiarity with GCP services (BigQuery, DataProc, GCS, Airflow). • Excellent analytical and problem-solving skills. • Experience in banking or financial services is a plus. Nice to Have • Exposure to BigQuery SQL or SAS-to-GCP translation. • Experience with Python or PySpark for cloud analytics. • Knowledge of risk management or regulatory data flows. Education Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or related field.