Responsible for importing, cleaning, transforming, and validating data to ensure its accuracy and integrity for analysis.
UsingSAS procedures and functions to perform various statistical analyses such as descriptive statistics, hypothesis testing, regression analysis, and predictive modeling.
Create reports, tables, and graphs to present analysis results in a clear and understandable format for stakeholders
Write and debug SAS code to automate data processing tasks, perform complex analyses, and generate reports efficiently.
Collaborate with other team members such as statisticians, data scientists, and business analysts to understand project requirements and deliver actionable insights.
Key Requirements
Strong understanding of SAS programming language and its various procedures (e.g., PROC SQL, PROC REG, PROC MEANS) is essential.