Role: SAS Developer with Strong exp in Python and SQL
Experience: 5 to 12 Yeras
Notice period: Immediate to 60 days
Location: All LTIMindtree locations
- Very strong hands-on experience with SAS programming: Proven ability to design, develop, and execute SAS programs to extract, transform, and analyze data.
- Very strong hands-on experience with Python programming: Proficient in using Python libraries such as Pandas, NumPy, and scikit-learn for data manipulation, analysis, and modeling.
- Very strong hands-on experience with SQL: Skilled in writing complex SQL queries for data extraction, data modeling, and data analysis, with a strong understanding of database concepts.
Key responsibilities:
- Design, develop, and execute SAS and Python programs: Write efficient and effective code in SAS and Python to extract, transform, and load data from various sources, and perform data analysis and modeling tasks.
- Data analysis and interpretation: Analyze complex data sets using SAS, Python, and SQL to identify trends, patterns, and correlations, and interpret results to inform business decisions.
- Data modeling and data mining: Develop and implement statistical models using SAS and Python to identify relationships between variables and predict outcomes, leveraging data extracted using SQL.
- Data quality and data management: Ensure data accuracy, completeness, and integrity by identifying and correcting data quality issues using SAS, Python, and SQL.
- Reporting and visualization: Create reports, dashboards, and visualizations using SAS and Python (e.g., Matplotlib, Seaborn, Plotly) to communicate insights and findings to stakeholders, leveraging data extracted using SQL.
- Database querying and data extraction: Write complex SQL queries to extract data from relational databases, and optimize queries for performance.
- Testing and validation: Test and validate SAS, Python, and SQL programs and models to ensure accuracy and reliability.
