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Lead Assistant Manager

EXL

Posted 30 Jun 2026

ChennaiHigh payGreat Place to Work
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Job Title: SAS Developer

Experience: 5+ Years

Location: All EXL Location

About the Role:

We are looking for an experienced SAS Developer with strong SQL skills to join our data and analytics team. The candidate should have hands-on experience in SAS programming, data analysis, ETL processes, and database querying. The ideal candidate should be capable of handling large datasets, developing reports, and supporting business requirements in a fast-paced environment.

Key Responsibilities:

  • Develop, maintain, and optimize SAS programs and batch jobs. 
  • Write complex SQL queries, stored procedures, and data extraction scripts. 
  • Perform data analysis, validation, cleansing, and transformation activities. 
  • Work with large-scale databases and data warehouses. 
  • Create reports, dashboards, and analytical datasets using SAS
  • Collaborate with business analysts, data engineers, and stakeholders to understand requirements. 
  • Troubleshoot and resolve data and performance-related issues. 
  • Ensure data accuracy, integrity, and compliance with standards. 
  • Participate in code reviews, documentation, and deployment activities.
  • Bachelor’s degree in Computer Science, IT, Engineering, or related field. 
  • Strong hands-on experience in SAS Programming/Base SAS
  • Good experience in SQL and database querying
  • Experience in data analysis, ETL, and reporting
  • Knowledge of SAS Macros, PROC SQL, and SAS Data Step programming. 
  • Strong understanding of RDBMS concepts
  • Experience working with Oracle, SQL Server, Teradata, or similar databases. 
  • Good analytical and problem-solving skills.
  • Experience in BFSI/Banking/Healthcare domain. 
  • Exposure to Unix/Linux scripting. 
  • Knowledge of Data Warehousing concepts. 
  • Experience with SAS EG or SAS Viya is an added advantage. 

Qualifications:

Good-to-Have:

  • Experience in BFSI/Banking/Healthcare domain. 
  • Exposure to Unix/Linux scripting. 
  • Knowledge of Data Warehousing concepts. 
  • Experience with SAS EG or SAS Viya is an added advantage.