- Minimum 7 Years of experience in SAS Analytics Project, preferably within the BFSI Domain.

- Experience in ETL, Data Engineering, Scripting.

- Expertise in SAS Programming and SQL, with a deep understanding of SQL Syntax and Performance Optimization.

- Experience with SAS BASE, Enterprise Guide (EG), Event Stream Processing (ESP), Visual Analytics (VA) , Viya platforms (VI and VA) and Data Integration (DI) are required.

- Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects.

- Extract, transform, and load (ETL) data from multiple sources into SAS environments.

- Conduct statistical analysis, predictive modeling, and machine learning using SAS.

- Develop, Modity, and Optimize SAS Programs for Data Analysis, Reporting and Visualization.

- Hands-on experience in building automated data pipelines and delivering ad-hoc analytical solutions.

- Exceptional communication, documentation and presentation skills and stakeholder management experiences.

- Dedicated, innovative, resourceful, analytical and able to work under pressure.

Desired skills :

- Familiarity with big data technologies such as Hive, Hadoop, or Spark is a strong advantage.

- Strong problem-solving skills, self-motivation, and the ability to work independently.

- Dashboarding experience with tableau / power BI / SAS VA is desirable.

- Degree in Computer Science or IT or Business Analytics.