
Advanced Statistical Analyst
2 weeks ago
SAS Developers design and implement data analysis, reporting, and visualization solutions using advanced statistical techniques. They extract, transform, and load (ETL) data from multiple sources into SAS environments to create actionable insights.
Key Responsibilities:
- Develop, modify, and optimize SAS programs for efficient data analysis.
- Extract, transform, and load (ETL) data from various sources into SAS environments.
- Conduct statistical analysis, predictive modeling, and machine learning using SAS.
- Collaborate with business teams to understand requirements and provide data-driven solutions.
- Develop and maintain SAS-based dashboards and reports.
- Evaluate data quality, accuracy, and compliance with organizational standards.
Required Skills & Qualifications:
- Bachelor's/Master's degree in Statistics, Computer Science, Data Science, Mathematics, or a related field.
- Hands-on experience in SAS programming (SAS Visual Investigator, SAS Macros, SAS SQL, SAS Enterprise Guide, SAS Viya 3.5 with SAS Studio, SAS Data Integration Studio, SAS 9 Programming).
- Strong expertise in data manipulation, cleansing, and validation.
- Experience with statistical modeling, regression analysis, and machine learning in SAS.
- Familiarity with database management systems (SQL, Oracle, Teradata, Hadoop).
- Ability to analyze complex datasets and provide actionable insights.
Preferred Qualifications:
- SAS certifications (e.g., SAS Certified Advanced Programmer, SAS Data Scientist).
- Experience in financial services, healthcare, retail, or other data-driven industries.
Additional Skills:
- SAS Visual Analytics
- Python Programming
- Natural Language Processing
- Text Analytics
- Predictive Modeling
- Data Science
- Business Process
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