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Job Description:Required Skills:Extensive hands-on SAS programming experience: Demonstrated ability to design, develop, and run SAS programs for data extraction, transformation, and analysis.Extensive hands-on Python programming experience: Strong proficiency with Python libraries such as Pandas, NumPy, and scikit-learn for data manipulation, analysis, and modeling.Extensive hands-on SQL experience: Ability to write complex SQL queries for data extraction, data modeling, and data analysis, with a solid understanding of database concepts.Key Responsibilities:Develop, design, and execute SAS and Python programs: Create efficient and effective SAS and Python code to extract, transform, and load data from multiple sources, and perform analytical and modeling tasks.Analyze and interpret data: Use SAS, Python, and SQL to work with complex datasets, identify patterns, trends, and correlations, and interpret results to support business decisions.Perform data modeling and data mining: Build and implement statistical models in SAS and Python to analyze relationships between variables and predict outcomes, utilizing data extracted through SQL.Maintain data quality and manage data: Ensure data accuracy, completeness, and integrity by detecting and resolving data quality issues using SAS, Python, and SQL.Create reports and visualizations: Develop reports, dashboards, and visualizations using SAS and Python (e.g., Matplotlib, Seaborn, Plotly) to clearly present insights and findings, based on SQL-extracted data.Database querying and extraction: Write advanced SQL queries to retrieve data from relational databases and optimize query performance.Testing and validation: Test and validate SAS, Python, and SQL programs and models to ensure their reliability and accuracy.