1. Data Analyst: Data analysts use SAS to clean, process, and analyze data to extract insights and make data-driven decisions. They work with datasets, create reports, and visualize trends.
2. Business Analyst: Business analysts utilize SAS to analyze business processes, identify opportunities for improvement, and make recommendations based on data-driven insights.
3. Statistical Analyst: Statistical analysts apply advanced statistical techniques using SAS to analyze and interpret data, conduct experiments, and generate statistical models for research and decision-making.
4. Data Scientist: Data scientists use SAS for data exploration, feature engineering, machine learning model development, and predictive analytics. They work on complex problems to extract meaningful patterns and insights from data.
5. Healthcare Analyst: In the healthcare sector, SAS-trained individuals can work as analysts to analyze medical data, conduct clinical trials, perform epidemiological studies, and assist in health-related research.
6. Financial Analyst: Financial analysts use SAS to analyze financial data, perform risk assessments, build predictive models for stock market trends, and support investment decisions.
7. Market Research Analyst: Market researchers utilize SAS to analyze consumer behavior, market trends, and survey data to provide insights into consumer preferences and market dynamics.
8. Supply Chain Analyst: Supply chain analysts use SAS to optimize supply chain operations, forecast demand, manage inventory, and improve overall logistics efficiency.
9. Quality Control Analyst: Quality control analysts utilize SAS to analyze manufacturing and production data, identify defects, and implement strategies for quality improvement.
10. Environmental Data Analyst: Environmental analysts use SAS to analyze environmental data, assess the impact of pollution, model environmental processes, and provide insights for sustainable practices.
11. Government and Public Policy Analyst: Analysts working in government agencies use SAS to analyze public policy issues, demographic data, and social trends to inform policy-making.
12. Academic Researcher: Researchers in academia use SAS to analyze research data, conduct experiments, and generate statistical results for their studies.
13. Marketing Analyst: Marketing analysts use SAS to analyze consumer behavior, campaign effectiveness, and marketing ROI to optimize marketing strategies.
14. Operations Analyst: Operations analysts use SAS to optimize business processes, improve efficiency, and identify areas for cost reduction within organizations.
15. Consultant: SAS-trained consultants provide data analysis and insights to clients across various industries, helping them make informed decisions and solve complex problems.

Remember that the specific job titles and responsibilities can vary based on the industry, company size, and the level of SAS proficiency. Additionally, as technology and the job market evolve, new roles that leverage SAS skills may emerge. It’s a good idea to keep up with industry trends and continuously update your skills to stay competitive in the job market.