Spottal
We are seeking a skilled
SAS Developer
to design, develop, and maintain advanced SAS applications for data analysis, reporting, and decision-making. The ideal candidate will have strong programming expertise in
SAS Base, SAS Macro, SQL , and other SAS tools, with a solid background in data analysis, data warehousing, and statistical modeling. Responsibilities:
Develop and optimize SAS programs for data extraction, transformation, analysis, and reporting. Build and maintain automated data pipelines using SAS and other ETL tools. Create and support dashboards, visualizations, and reports using SAS tools (e.g., SAS Enterprise Guide, SAS Visual Analytics). Perform data validation, quality checks, and ensure data integrity. Collaborate with business analysts, data scientists, and stakeholders to understand requirements and translate them into technical solutions. Write technical documentation and provide end-user support. Work with databases such as Oracle, SQL Server, or Teradata using SAS/ACCESS or SQL. Support migration efforts from legacy systems to modern SAS platforms or cloud environments.
#J-18808-Ljbffr
SAS Developer
to design, develop, and maintain advanced SAS applications for data analysis, reporting, and decision-making. The ideal candidate will have strong programming expertise in
SAS Base, SAS Macro, SQL , and other SAS tools, with a solid background in data analysis, data warehousing, and statistical modeling. Responsibilities:
Develop and optimize SAS programs for data extraction, transformation, analysis, and reporting. Build and maintain automated data pipelines using SAS and other ETL tools. Create and support dashboards, visualizations, and reports using SAS tools (e.g., SAS Enterprise Guide, SAS Visual Analytics). Perform data validation, quality checks, and ensure data integrity. Collaborate with business analysts, data scientists, and stakeholders to understand requirements and translate them into technical solutions. Write technical documentation and provide end-user support. Work with databases such as Oracle, SQL Server, or Teradata using SAS/ACCESS or SQL. Support migration efforts from legacy systems to modern SAS platforms or cloud environments.
#J-18808-Ljbffr