Responsibilities . Develop and implement SAS programs for data extraction, manipulation, and analysis. . Design and build predictive models, segmentation analyses, and statistical algorithms using SAS. . Collaborate with cross-functional teams to understand business objectives and translate them into analytical solutions. . Conduct exploratory data analysis to identify trends, patterns, and anomalies in large datasets. . Perform statistical tests and hypothesis testing to validate analytical findings. . Build data visualizations and dashboards to communicate insights to stakeholders. . Stay up-to-date with industry trends and best practices in analytics and SAS programming. Requirements: . Bachelor's degree in Statistics, Mathematics, Computer Science, or related field. . Strong proficiency in SAS programming language, including SAS Base, SAS Macros, and SAS SQL. . Experience with statistical modeling techniques such as regression analysis, clustering, and time series forecasting. . Proficiency in data manipulation and cleansing using SAS Data Step and SAS PROC SQL. . Excellent analytical and problem-solving skills. . Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. . Ability to work independently and as part of a team in a fast-paced environment. . Experience with other statistical software such as R or Python. Preferred Skills: Technology- Mainframe Technologies- SAS
