SAS Analytics

Roles & Responsibilities:

- Expected to perform independently and become an SME.

- Required active participation/contribution in team discussions.

- Contribute in providing solutions to work related problems.

- Collaborate with Integration Architects and Data Architects to design and implement data platform components.

- Ensure seamless integration between various systems and data models.

- Develop and maintain data platform blueprints.

- Provide technical expertise in data platform design and implementation.

- Contribute to the continuous improvement of data platform capabilities.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in SAS Analytics.

- Strong understanding of statistical analysis and machine learning algorithms.

- Experience with data visualization tools such as Tableau or Power BI.

- Hands-on experience in implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.

- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.