Develop SAS programs to extract, transform, and load (ETL) data from various sources into a usable format for analysis.

Write and debug SAS code for statistical analysis, reporting, and data visualization to meet project requirements.

Perform data validation and quality checks to ensure data accuracy and integrity throughout the SAS programming process.

Collaborate with statisticians and data analysts to understand analytical needs and translate them into efficient SAS programs.

Create and maintain SAS macros and reusable code libraries to improve efficiency and standardization across projects.

Document SAS programs and processes clearly for reproducibility and compliance with industry standards.

Optimize SAS code for performance and scalability to handle large datasets and complex analytical tasks.

Implement data security measures and access controls within SAS environments to protect sensitive information.

Stay updated with the latest SAS software updates, techniques, and industry best practices to enhance programming skills.

Provide technical support and troubleshooting assistance to end-users regarding SAS programs and data-related issues.

Writing, testing, and debugging SAS code to perform data analysis and generate reports.

Cleaning, transforming, and managing large datasets using SAS procedures and functions.

Performing statistical analyses such as regression, ANOVA, and hypothesis testing using SAS.

Creating customized reports and dashboards to present data insights to stakeholders.

Developing and implementing SAS macros to automate repetitive tasks and improve code efficiency.

Ensuring data quality and accuracy by implementing validation checks and data audits in SAS.

Creating custom SAS procedures to address specific analytical needs and enhance SAS functionality.

Integrating data from various sources, including databases and flat files, into SAS environments.

Optimizing SAS code and processes to improve performance and reduce processing time.

Creating and maintaining documentation for SAS programs, procedures, and data processes.

Working with cross-functional teams to understand data requirements and deliver analytical solutions.

Participating in code reviews to ensure code quality, adherence to standards, and best practices.