

Tekskills Inc.
Senior/Lead SAS Analytics Professional.
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior/Lead SAS Analytics Professional in Atlanta, GA or Charlotte, NC (Hybrid) for 12+ months at a competitive pay rate. Key skills include SAS, ETL, basic Machine Learning, and proficiency in Python and R programming.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
November 12, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Atlanta, GA
-
π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #Clustering #Macros #Microsoft Power BI #GIT #Data Engineering #AWS (Amazon Web Services) #BI (Business Intelligence) #SAS #Programming #Agile #Data Wrangling #R #Base #Computer Science #GCP (Google Cloud Platform) #Regression #Data Processing #Forecasting #Time Series #Matplotlib #Data Science #Migration #Deployment #Azure #Libraries #Datasets #Data Quality #Statistics #Cloud #Scala #Version Control #ML (Machine Learning) #Pandas #Tableau #Strategy #Mathematics #Python #Automation #Visualization #Leadership #Data Analysis #Logistic Regression #Documentation
Role description
Job Title: Senior/Lead SAS Analytics Professional.
Location: Atlanta, GA 30303 / Charlotte, NC (Hybrid)
Duration: 12+ Months
Must Have Skills:
β’ SAS
β’ SAS Base
β’ SAS Viya
β’ SAS macros
β’ ETL
β’ Basic Machine Learning
β’ 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
β’ Design, develop, and optimize robust SAS programs using SAS Base, SAS Macros, and SAS Viya for large-scale data processing, reporting, and analytics.
β’ Lead SAS Viya implementations and migrations from legacy SAS environments.
β’ Build reusable macro libraries and automation frameworks to streamline analytics workflows.
β’ Perform advanced data wrangling, cleansing, and transformation across structured and semi-structured datasets.
Analytics & Modeling
β’ Apply statistical techniques and basic machine learning models (e.g., regression, decision trees, clustering) to solve business problems.
β’ Collaborate with data scientists and business stakeholders to define modeling objectives and interpret results.
β’ Support model development, validation, and deployment using SAS and complementary tools.
β’ Apply foundational machine learning techniques such as:
β’ Linear and Logistic Regression
β’ Decision Trees
β’ Clustering (K-Means, Hierarchical)
β’ Time Series Forecasting
Cross-Platform Collaboration
β’ Use R and Python for exploratory data analysis, visualization, and prototyping.
β’ Integrate SAS workflows with Python/R scripts where needed, especially in Viya environments.
β’ Contribute to hybrid analytics solutions leveraging open-source and enterprise tools.
Leadership & Strategy
β’ Mentor junior analysts and guide best practices in SAS development and analytics.
β’ Engage with business units to understand requirements and translate them into scalable data solutions.
β’ Document processes, create knowledge assets, and contribute to analytics governance.
Required Skills & Qualifications
β’ 10+ years of hands-on experience in SAS Base, SAS Macros, and SAS Viya.
β’ Proven track record in building scalable SAS solutions for analytics, reporting, and automation.
β’ Strong understanding of data engineering, ETL, and data quality frameworks.
β’ Basic proficiency in Machine Learning algorithms and their application in business contexts.
β’ Working knowledge of R (e.g., tidyverse, ggplot2) and Python (e.g., pandas, scikit-learn, matplotlib).
β’ Experience with SAS Viya on cloud platforms (Azure, AWS, GCP) is a plus.
β’ Excellent communication, stakeholder management, and documentation skills.
β’ Bachelorβs/Masterβs degree in Statistics, Mathematics, Computer Science, or related field.
Preferred Qualifications
β’ SAS Certifications: Base Programmer, Advanced Programmer, SAS Viya Professional.
β’ Exposure to Agile methodologies, CI/CD pipelines, and version control (Git).
β’ Domain experience in banking, insurance, healthcare, or retail analytics.
β’ Experience with data visualization tools (e.g., Power BI, Tableau) is a plus
Job Title: Senior/Lead SAS Analytics Professional.
Location: Atlanta, GA 30303 / Charlotte, NC (Hybrid)
Duration: 12+ Months
Must Have Skills:
β’ SAS
β’ SAS Base
β’ SAS Viya
β’ SAS macros
β’ ETL
β’ Basic Machine Learning
β’ 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
β’ Design, develop, and optimize robust SAS programs using SAS Base, SAS Macros, and SAS Viya for large-scale data processing, reporting, and analytics.
β’ Lead SAS Viya implementations and migrations from legacy SAS environments.
β’ Build reusable macro libraries and automation frameworks to streamline analytics workflows.
β’ Perform advanced data wrangling, cleansing, and transformation across structured and semi-structured datasets.
Analytics & Modeling
β’ Apply statistical techniques and basic machine learning models (e.g., regression, decision trees, clustering) to solve business problems.
β’ Collaborate with data scientists and business stakeholders to define modeling objectives and interpret results.
β’ Support model development, validation, and deployment using SAS and complementary tools.
β’ Apply foundational machine learning techniques such as:
β’ Linear and Logistic Regression
β’ Decision Trees
β’ Clustering (K-Means, Hierarchical)
β’ Time Series Forecasting
Cross-Platform Collaboration
β’ Use R and Python for exploratory data analysis, visualization, and prototyping.
β’ Integrate SAS workflows with Python/R scripts where needed, especially in Viya environments.
β’ Contribute to hybrid analytics solutions leveraging open-source and enterprise tools.
Leadership & Strategy
β’ Mentor junior analysts and guide best practices in SAS development and analytics.
β’ Engage with business units to understand requirements and translate them into scalable data solutions.
β’ Document processes, create knowledge assets, and contribute to analytics governance.
Required Skills & Qualifications
β’ 10+ years of hands-on experience in SAS Base, SAS Macros, and SAS Viya.
β’ Proven track record in building scalable SAS solutions for analytics, reporting, and automation.
β’ Strong understanding of data engineering, ETL, and data quality frameworks.
β’ Basic proficiency in Machine Learning algorithms and their application in business contexts.
β’ Working knowledge of R (e.g., tidyverse, ggplot2) and Python (e.g., pandas, scikit-learn, matplotlib).
β’ Experience with SAS Viya on cloud platforms (Azure, AWS, GCP) is a plus.
β’ Excellent communication, stakeholder management, and documentation skills.
β’ Bachelorβs/Masterβs degree in Statistics, Mathematics, Computer Science, or related field.
Preferred Qualifications
β’ SAS Certifications: Base Programmer, Advanced Programmer, SAS Viya Professional.
β’ Exposure to Agile methodologies, CI/CD pipelines, and version control (Git).
β’ Domain experience in banking, insurance, healthcare, or retail analytics.
β’ Experience with data visualization tools (e.g., Power BI, Tableau) is a plus





