Assess SAS skills to find skilled data analysts for your organization

The Mercer | Mettl SAS Skills Test evaluates candidates in SAS software including SAS data integration, visualization, statistical analysis, data transformation, SAS metadata, etc. It consists of thirty multiple-choice questions for candidates with three to five years of experience. This assessment is crafted to examine how well candidates can utilize SAS software for handling, analyzing, and interpreting data within practical settings. 

What is the importance of this SAS Online Test?

This SAS Online Test is essential for measuring the numerous functionalities in the SAS software. Since effective data handling is key to modern business decisions, this evaluation highlights those who genuinely understand how to work with SAS and uncovers insights that matter. Some major areas of testing SAS include data management, data integration, and message queues, among others. 

How can the SAS Test help you hire?

Hiring for SAS roles can be challenging; practical skills must match claimed knowledge. This examination presents candidates with tasks designed to reflect what the job really entails, allowing evaluators to see their proficiency in SAS skills and knowledge in action. The test results provide transparent evidence of a candidate’s strengths, helping organizations make informed hiring choices that build strong, capable teams. 

What roles can you assess when using this assessment?

• Data analysts: These professionals depend on strong SAS capabilities to prepare, validate, and interpret data sets, enabling business units to make informed, evidence-based decisions. Their role often includes automating repetitive tasks and generating timely reports that influence operational efficiency.  
• Business intelligence specialists: They leverage SAS to develop visually compelling dashboards and data visualizations, translating complex datasets into clear insights. Their analyses guide leadership in strategy formulation, risk management, and performance optimization.  
• Data scientists: These experts utilize SAS for rigorous statistical modeling, predictive analytics, and building machine learning models. Their advanced analytical work supports innovation initiatives and helps tackle high-impact challenges by uncovering hidden patterns and trends in data.