Min 5+ years in the analytics domain, with a strong portfolio of relevant projects.  Proficiency in SAS, SAS Macros, and SQL.  Hands-on experience in ETL processes and tools.  Knowledge of data engineering concepts and data warehousing best practices.

 Base SAS Certified professional.  Develop, implement, and optimize analytical models using SAS and SQL.  Strong Knowledge within SAS DI,SAS EG, SAS BI tools.  Analyze large datasets to derive actionable insights and support business decision-making.  Design, implement, and maintain ETL workflows to extract, transform, and load data efficiently.  Develop advanced SAS programs using SAS Macros for automation and data processing.  Troubleshoot and optimize SAS code for performance improvements.  Work on data warehousing projects to enable efficient data storage and retrieval.  Basic Unix Scripts related Knowledge. JL5B- 8+ Years of Experience  Advanced SAS Certified with 5+  Worked on Min 2SAS Migration Projects execution.  Strong Knowledge within SAS DI,SAS EG, SAS BI tools.  SAS Migration Projects to SAS Scripts to Python, Pyspark, Databricks, ADF and Snowflake etc.  Good Knowledge within SAS VIYA 3.4,4.0 platforms.  Good Knowledge on SAS- SMC, LSF and other Schedulers  Basic Knowledge on SAS Admin information, Basic SAS Grid level Knowledge.  Good Unix commands, Scripts related Knowledge.  Handle case studies or complex data scenarios, ensuring data quality and integrity.  Develop advanced SAS programs using SAS Macros for automation and data processing.  Troubleshoot and optimize SAS code for performance improvements.  Collaborate with the data engineering team to build and manage robust data pipelines.  Work on data warehousing projects to enable efficient data storage and retrieval.  Present findings and insights clearly to both technical and non-technical stakeholders.  Work closely with teams across departments to gather requirements and deliver solutions