SAS Programmer Job at Kutir Technologies, Remote

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  • Kutir Technologies
  • Remote

Job Description

Job Summary:

We are seeking a skilled SAS Programmer with .NET exposure to join our dynamic team. The ideal candidate will have expertise in SAS programming , data analysis, and statistical modeling while also possessing a working knowledge of .NET technologies . This role will involve data manipulation, reporting, and integrating SAS with .NET applications to support business and analytics-driven decision-making.

Key Responsibilities:

  • Develop, maintain, and optimize SAS programs for data extraction, transformation, and reporting.
  • Integrate SAS processes with .NET-based applications for enhanced functionality.
  • Create and manage data validation, cleansing, and transformation routines.
  • Collaborate with data analysts and business teams to understand data requirements.
  • Automate SAS workflows using macros, stored processes, and scripts .
  • Develop reports, dashboards, and visualizations using SAS, .NET, or other BI tools .
  • Troubleshoot and resolve issues in SAS programs and .NET integrations.
  • Maintain documentation for developed processes and solutions.

Required Skills & Qualifications:

  • Bachelor's degree in Computer Science, Statistics, or a related field.
  • 3+ years of experience in SAS programming, including Base SAS, SAS Macro, and SAS SQL.
  • Exposure to .NET technologies (C#, ASP.NET, VB.NET) and ability to integrate SAS with .NET applications.
  • Experience in data manipulation, statistical modeling, and ETL processes .
  • Strong knowledge of SQL and relational databases (SQL Server, Oracle, etc.).
  • Familiarity with SAS Enterprise Guide, SAS Studio, or SAS Viya .
  • Experience with reporting tools such as SSRS, Power BI, or Tableau is a plus.
  • Strong problem-solving, analytical, and communication skills.

Preferred Skills:

  • Experience working in healthcare, finance, or insurance industries .
  • Exposure to cloud platforms (AWS, Azure, or Google Cloud) with SAS and .NET.
  • Knowledge of scripting languages like Python or R for data analysis.
  • Understanding of Agile methodologies and version control systems (Git, SVN).

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