Key Responsibilities :
- Develop, maintain, and optimize SAS programs using SAS / BASE, SAS SQL, SAS Macros, and various procedures such as Proc SQL, Proc Transpose, etc.
- Work on ETL processes, handle large volumes of data, and support data movement and transformation.
- Ensure data quality, validation, and integrity through robust data management and QA practices.
- Analyze business requirements and translate them into technical specifications and workflows.
- Collaborate with data engineers, business analysts, and other stakeholders to support reporting and data integration initiatives.
- Troubleshoot and resolve data-related issues efficiently and independently.
- Document processes, technical specifications, and data flows to support data lineage and audit requirements.
Mandatory Skills :
Strong expertise in SAS programming, including :
SAS / BASE (Data Step programming)SAS / SQLSAS MacrosKey procedures like Proc SQL, Proc Transpose, etc.
Good understanding of ETL processes and data warehousing concepts.Knowledge of data validation, data quality, and data lineage methodologies.Strong analytical and problem-solving skills.Ability to work in a cross-functional team environment and communicate technical topics effectively.Experience in analyzing complex datasets and supporting reporting / data initiatives.Preferred Qualifications :
Exposure to tools like Informatica, Power BI, Tableau, or R is a plus.Understanding of pharma, banking, or healthcare domains is an advantage.Experience in agile or hybrid project environments.(ref : hirist.tech)