SAS PROGRAMMING ( Full-time at a Fortune 500 tech MNC)

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:

1. 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.

2. 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.

3. 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.

4. Maintain data quality and manage data:

   Ensure data accuracy, completeness, and integrity by detecting and resolving data quality issues using SAS, Python, and SQL.

5. 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.

6. Database querying and extraction:

   Write advanced SQL queries to retrieve data from relational databases and optimize query performance.

7. Testing and validation:

   Test and validate SAS, Python, and SQL programs and models to ensure their reliability and accuracy.