Sr. SAS Analytics Consultant

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

SAS/MACROS
SAS/BASE
SAS
Python
R
Machine Learning (ML)
Microsoft Power BI
Stakeholder Management
Amazon Web Services
Banking
Data Visualization
Extract
Transform
Load
Data Quality
Google Cloud Platform
Macros
Pandas
Health Care
Insurance
Open Source
Migration
Modeling
Prototyping
Data Analysis
Cloud Computing
Microsoft Azure
Tableau
Retail
Scripting
Git
Visualization
Continuous Delivery
Continuous Integration

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.