SAS Data Analyst- Python,Pandas,NumPy

SAS Data Analyst- Python,Pandas,NumPy
Toronto

Skills Required:
• Digital: BI – Fundamentals of Business Analytics using SAS
• Digital: Python
• Digital: Python Web Frameworks
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Job Description:
• Data Analysis Manipulation
Utilizing both SAS and Python (with libraries like Pandas, NumPy) for data extraction, transformation, cleansing, and analysis from various sources.
• Statistical Modelling Analytics
Developing, implementing, and validating statistical models and predictive analytics using SAS procedures and Python libraries (e.g., scikit-learn).
• SAS Modernization Conversion
Analysing existing SAS programs and workflows, identifying opportunities for re-engineering, and converting SAS codebases to Python Spark for improved scalability and efficiency.
• Automation Workflow Development
Building and maintaining automated data pipelines, reporting systems, and analytical workflows using Python scripting.
• Collaboration Communication
Working with business stakeholders, data engineers, and other teams to understand requirements, translate them into analytical solutions, and present findings.
• Documentation Best Practices
Documenting code, processes, and methodologies to ensure consistency, maintainability, and knowledge transfer.
• Troubleshooting Optimization
Identifying and resolving issues in data processes and analytical solutions, and optimizing performance of both SAS and Python code.
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Experience Required:
• 6 above