Overview
Skills
Job Details
Job Title: Sr. SAS Analytics Consultant
Location: Atlanta, GA 30303 / Charlotte, NC (Hybrid)
Duration: 6-12 Months
Must Have Skills:
- SAS
- SAS Base
- SAS Viya
- SAS macros
- ETL
- Basic Machine Learning
- Python and R Programming
Detailed Job Description:
We are looking for a seasoned analytics professional with over a decade of experience in SAS programming (Base, Macros, Viya), who can lead complex data initiatives, drive automation, and contribute to analytical strategy. The ideal candidate will also possess a working knowledge of Machine Learning, R, and Python, enabling cross-platform collaboration and innovation.
Key Responsibilities:
SAS Expertise
- Design, develop, and optimize robust SAS programs using SAS Base, SAS Macros, and SAS Viya for large-scale data processing, reporting, and analytics.
- Lead SAS Viya implementations and migrations from legacy SAS environments.
- Build reusable macro libraries and automation frameworks to streamline analytics workflows.
- Perform advanced data wrangling, cleansing, and transformation across structured and semi-structured datasets.
Analytics & Modelling:
- Apply statistical techniques and basic machine learning models (e.g., regression, decision trees, clustering) to solve business problems.
- Collaborate with data scientists and business stakeholders to define modelling objectives and interpret results.
- Support model development, validation, and deployment using SAS and complementary tools.
- Apply foundational machine learning techniques such as:
- Linear and Logistic Regression
- Decision Trees
- Clustering (K-Means, Hierarchical)
- Time Series Forecasting
Cross-Platform Collaboration:
- Use R and Python for exploratory data analysis, visualization, and prototyping.
- Integrate SAS workflows with Python/R scripts where needed, especially in Viya environments.
- Contribute to hybrid analytics solutions leveraging open-source and enterprise tools.
Leadership & Strategy:
- Mentor junior analysts and guide best practices in SAS development and analytics.
- Engage with business units to understand requirements and translate them into scalable data solutions.
- Document processes, create knowledge assets, and contribute to analytics governance.
Required Skills & Qualifications:
- 10+ years of hands-on experience in SAS Base, SAS Macros, and SAS Viya.
- Proven track record in building scalable SAS solutions for analytics, reporting, and automation.
- Strong understanding of data engineering, ETL, and data quality frameworks.
- Basic proficiency in Machine Learning algorithms and their application in business contexts.
- Working knowledge of R (e.g., tidyverse, ggplot2) and Python (e.g., pandas, scikit-learn, matplotlib).
- Experience with SAS Viya on cloud platforms (Azure, AWS, Google Cloud Platform) is a plus.
- Excellent communication, stakeholder management, and documentation skills.
- Bachelor s/Master s degree in Statistics, Mathematics, Computer Science, or related field.
Preferred Qualifications:
- SAS Certifications: Base Programmer, Advanced Programmer, SAS Viya Professional.
- Exposure to Agile methodologies, CI/CD pipelines, and version control (Git).
- Domain experience in banking, insurance, healthcare, or retail analytics.
- Experience with data visualization tools (e.g., Power BI, Tableau) is a plus.
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
- Strong experience in SAS, SAS Platform admin
- Strong communication skills
- Strong programming skills