Tekskills Inc.

Senior/Lead SAS Analytics Professional.

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 12, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Atlanta, GA
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🧠 - 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€’ Bachelor’s/Master’s 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