Posted May 7, 2026
Key Responsibilities:
Collect, clean, and analyze business data using SAS (Base SAS, SAS Enterprise Guide, SAS Visual Analytics). - Develop and automate reports, dashboards, and performance metrics to support business operations. - Perform statistical and predictive analysis to identify trends, patterns, and business opportunities. - Work with business stakeholders to gather requirements and translate them into data models and insights. - Create and maintain documentation of data sources, methodologies, and processes. - Ensure data quality, integrity, and consistency across reports and analytics solutions. Qualifications Required:
Proficiency in SAS programming for data manipulation and reporting. - Experience with Base SAS, SAS Enterprise Guide, or SAS Visual Analytics. - Understanding of basic statistical methods (descriptive statistics, regression, correlation). - Ability to write SQL queries for data extraction and transformation. - Knowledge of Excel and data visualization techniques. Role Overview: You will be responsible for collecting, cleaning, and analyzing business data using SAS (Base SAS, SAS Enterprise Guide, SAS Visual Analytics). You will develop and automate reports, dashboards, and performance metrics to support business operations. Additionally, you will perform statistical and predictive analysis to identify trends, patterns, and business opportunities. Working with business stakeholders to gather requirements and translate them into data models and insights will also be a part of your role. Lastly, you will create and maintain documentation of data sources, methodologies, and processes to ensure data quality, integrity, and consistency across reports and analytics solutions. Key Responsibilities:
Collect, clean, and analyze business data using SAS (Base SAS, SAS Enterprise Guide, SAS Visual Analytics). - Develop and automate reports, dashboards, and performance metrics to support business operations. - Perform statistical and predictive analysis to identify trends, patterns, and business opportunities. - Work with business stakeholders to gather requirements and translate them into data models and insights. - Create and maintain documentation of data sources, methodologies, and processes. - Ensure data quality, integrity, and consistency across reports and analytics solutions. Qualifications Required:
Proficiency in SAS programming for data manipulation and reporting. - Experience with Base SAS, SAS Enterprise Guide, or SAS Visual Analytics. - Understanding of basic statistical methods (descriptive statistics, regression, correlation). - Ability to write SQL queries for data extraction and transformation. - Knowledge of Excel and data visualization techniques.
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