Freelance SAS Consultant / Analyst
Contract Type: Freelance
The duration of the assignment is 3 months.
Start Date: Asap
Key Responsibilities:
Design, develop, and implement SAS-based statistical models and data analysis solutions.
Perform data extraction, transformation, and loading (ETL) using SAS tools.
Create dashboards, reports, and visualizations to present data insights effectively.
Conduct data validation and quality checks to ensure accurate analysis results.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Optimize existing SAS programs for performance and efficiency.
Minimum Requirements:
3+ years of experience in SAS programming and analytics.
Proficiency in SAS Base, SAS Macro, and SAS SQL.
Experience with data cleaning, data analysis, and reporting using SAS tools.
Solid understanding of statistical analysis techniques and methodologies.
Familiarity with SAS Visual Analytics and SAS Enterprise Guide.
Strong problem-solving and analytical skills.
Excellent communication skills in English (both written and verbal).
Nice-to-Have Skills:
Experience in SAS Viya or SAS Grid Computing.
Knowledge of SQL databases and Python or R for data manipulation.
Experience working in regulated industries (e.g., finance, healthcare, or pharmaceuticals).
The duration of the assignment is 3 months.
Start Date: Asap
Key Responsibilities:
Design, develop, and implement SAS-based statistical models and data analysis solutions.
Perform data extraction, transformation, and loading (ETL) using SAS tools.
Create dashboards, reports, and visualizations to present data insights effectively.
Conduct data validation and quality checks to ensure accurate analysis results.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Optimize existing SAS programs for performance and efficiency.
Minimum Requirements:
3+ years of experience in SAS programming and analytics.
Proficiency in SAS Base, SAS Macro, and SAS SQL.
Experience with data cleaning, data analysis, and reporting using SAS tools.
Solid understanding of statistical analysis techniques and methodologies.
Familiarity with SAS Visual Analytics and SAS Enterprise Guide.
Strong problem-solving and analytical skills.
Excellent communication skills in English (both written and verbal).
Nice-to-Have Skills:
Experience in SAS Viya or SAS Grid Computing.
Knowledge of SQL databases and Python or R for data manipulation.
Experience working in regulated industries (e.g., finance, healthcare, or pharmaceuticals).