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Sas Data Jobs (NOW HIRING)

Cesna Group

SAS Data Engineer- Linux

Austin, TX · On-site

$50K - $100K/yr

Job Summary SAS Datalake Engineer * 1. Node Replacement and Upgrades: * ?? - Assess Isilon and ... Data Center Work: * ?? - Participate in data center activities, including racking and initial ...

Saxon Global

Data Scientist

Fort Mill, SC

Qualifications R ,SAS, Data Scientist, moduler, Hadoop, data scientist Additional Information All your information will be kept confidential according to EEO guidelines.

NR Consulting

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

Required : • Data Modelling • Snowflake • SQL (Advanced) • SAS (data analysis understanding) • ETL Concepts • Data Warehousing • ER Modelling Company : NR Consulting is an information ...

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How much do sas data jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for sas data in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What is a sas data analyst?

SAS Data Analysts are professionals who use SAS (Statistical Analysis System) software to manage, analyze, and interpret complex data sets. They clean and prepare data, run statistical analyses, and create reports to help organizations make data-driven decisions. SAS Data Analysts often work in industries like healthcare, finance, and research, where large volumes of data must be processed accurately. Their expertise in SAS allows them to extract meaningful insights from raw data, contributing to business strategies and operational improvements.

What are the key skills and qualifications needed to thrive as a sas data analyst, and why are they important?

To thrive as a SAS Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid understanding of data management, typically backed by a degree in a quantitative field. Expertise in SAS programming, familiarity with data visualization tools, and knowledge of SQL or other database systems are commonly required, with certifications like SAS Certified Specialist being advantageous. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data accurately and share insights with stakeholders. These skills and qualifications are crucial for transforming complex data into actionable business intelligence and supporting data-driven decision making.

What are some common challenges faced by sas data analysts when working with large datasets, and how can they be addressed?

SAS Data Analysts often encounter challenges such as long processing times, memory limitations, and data quality issues when handling large datasets. To address these, analysts typically use optimized coding practices, such as indexing, efficient data step processing, or leveraging SAS's parallel processing capabilities. Collaborating closely with database administrators and IT teams to ensure adequate system resources and performing routine data quality checks can also help maintain data integrity and efficiency. Staying updated with the latest SAS tools and best practices further empowers analysts to manage large datasets effectively.

What is the difference between Sas Data vs Data Analyst?

AspectSas DataData Analyst
Required CredentialsProficiency in SAS software, certifications in SAS programmingDegree in statistics, data science, or related field; often familiarity with SAS is a plus
Work EnvironmentTypically in analytics or data management teams within industries using SASIn various industries, analyzing data, creating reports, and providing insights
Employer & Industry UsageOrganizations using SAS for data analysis, healthcare, finance, and governmentBroadly used across industries for data interpretation and reporting

While Sas Data specialists focus on managing and analyzing data using SAS software, Data Analysts perform broader data analysis tasks across various tools and platforms. Both roles require strong analytical skills, but Sas Data roles are more specialized in SAS programming and data management within specific industries.

What SAS data jobs are in high demand?

SAS data analyst and SAS data scientist roles are in high demand due to the increasing need for data analysis and predictive modeling across industries. These positions often require proficiency in SAS programming, statistical analysis, and data management, with certifications like SAS Certified Data Scientist enhancing job prospects.
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SAS Data jobs near you
Infographic showing various Sas Data job openings in the United States as of August 2026, with employment types broken down into 53% Full Time, 3% Part Time, and 44% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

SAS to Python / R Migration Developer

Ignite IT

Suitland, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

The SAS to Python/R Migration Developer is responsible for hands-on conversion, testing, and validation of SAS analytical code into Python and/or R under the guidance of a migration architect. This role focuses on execution quality, code accuracy, and reproducibility.

This is a build-and-deliver role for someone who enjoys translating logic and making things work correctly.

Key Responsibilities

  • Convert SAS programs into Python and/or R code following defined standards
  • Translate:
    • SAS DATA steps
    • PROC SQL
    • Statistical PROCs
    • SAS Macros into Python/R functions or modules
  • Implement data ingestion, transformation, and analytics workflows
  • Perform side-by-side validation of SAS vs Python/R outputs
  • Debug discrepancies in calculations or statistical results
  • Write clean, maintainable, well-documented Python/R code
  • Develop unit tests and validation scripts
  • Optimize performance for large datasets
  • Collaborate closely with architects and data stakeholders
  • Participate in code reviews and knowledge transfer

Requirements

  • 4+ years of analytics or data engineering experience
  • Strong hands-on SAS programming experience
  • Strong proficiency in Python and/or R
  • Practical experience translating business logic across languages
  • Familiarity with:
    • Pandas / NumPy / SciPy or tidyverse / data.table
    • SQL and relational data concepts
  • Experience validating statistical and analytical outputs
Nice to Have
  • Prior participation in SAS migration projects
  • Experience with Git, CI/CD, and automated testing
  • Exposure to cloud-based analytics environments
  • Understanding of performance tuning in Python or R

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance

Apply