SAS Data Analyst

We are seeking a highly skilled SAS Data Analyst to join our team. The ideal candidate will have strong programming skills in SAS and a deep understanding of statistical analysis. This role will involve using SAS for data manipulation, statistical modeling, reporting, and providing actionable insights to help guide business decisions. The successful candidate will have a strong ability to work with large datasets, apply statistical methods, and communicate results effectively to both technical and non-technical stakeholders.
Key Responsibilities:
Utilize SAS to extract, clean, transform, and load (ETL) large datasets from various data sources. 
Perform advanced data analysis and statistical modeling using SAS, including regression analysis, hypothesis testing, and data mining techniques. 
Develop and optimize SAS macros to streamline and automate data processing tasks. 
Generate detailed reports and visualizations, presenting findings to management and key stakeholders. 
Collaborate with business teams to understand their data needs and provide insights to improve decision-making. 
Assist in the development and maintenance of data warehouses, dashboards, and automated reporting tools. 
Monitor data quality and ensure accuracy and integrity across datasets. 
Provide technical support and training on SAS tools and techniques to team members and stakeholders. 
Qualifications:
Master’s degree or higher in Statistics, Mathematics, Computer Science, Information Management, or a related field. 
Having experience with SAS programming and data analysis. 
Strong knowledge of SAS Base, SAS Macro, SAS SQL, and SAS graphical tools. 
Solid foundation in statistical analysis and the ability to design appropriate statistical models for various business problems.