Posted:5 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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:

  1. 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.
  2. 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.
  3. 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.
  4. Data quality and data management

    : Ensure data accuracy, completeness, and integrity by identifying and correcting data quality issues using SAS, Python, and SQL.
  5. 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.
  6. Database querying and data extraction

    : Write complex SQL queries to extract data from relational databases, and optimize queries for performance.
  7. Testing and validation

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

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