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Sas Data Jobs (NOW HIRING)

Ensure business continuity and data protection standards are met. Automation & Support * Automate administrative tasks using Shell scripting, Python, Ansible, or SAS administrative tools. * Support ...

New

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 ...

Data Modeler Engineer

Charlotte, NC

$53.50 - $69.25/hr

Data Modeling, Snowflake, SQL (Advanced), SAS (data analysis understanding), ETL Concepts, Data Warehousing, ER Modeling s: Design and implement enterprise-grade data models (logical & physical ...

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

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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Sas Data information

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$8

$54

$77

How much do sas data jobs pay per hour?

As of Jun 19, 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 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 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 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 SAS Data Analysts?

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.
More about Sas Data jobs
What cities are hiring for Sas Data jobs? Cities with the most Sas Data job openings:
What states have the most Sas Data jobs? States with the most job openings for Sas Data jobs include:
What job categories do people searching Sas Data jobs look for? The top searched job categories for Sas Data jobs are:
Infographic showing various Sas Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

$140K - $160K/yr

Full-time

Posted 2 days ago


Job description

Must Have Technical/Functional Skills
• Hands-on experience administering SAS 9.4 in a Linux environment.
Strong experience with SAS Grid Manager and LSF.
Experience with SAS Environment Manager.
Experience using SAS Management Console (SMC).
Strong understanding of SAS security and metadata management.
Experience with SAS/Access and RDBMS connectivity (Oracle, SQL Server, Snowflake, Teradata).
Knowledge of Linux commands and system monitoring.
Experience installing hot fixes, upgrades, and add-on components.
Understanding of Base SAS (DATA step) and PROC SQL.
Strong troubleshooting and performance tuning skills.
SAS Platform Administration
Administer, maintain, and tune SAS 9.4 in a Linux environment.
Manage and optimize SAS GRID Manager environment.
Monitor system performance, conduct log analysis, and perform performance tuning.
Perform platform capacity planning and provide performance metrics and recommendations.
Ensure overall availability, reliability, and stability of the SAS environment.
Identify production bottlenecks and implement corrective solutions.
SAS GRID & LSF Management
Configure and administer SAS Grid Manager.
Manage and maintain LSF (Load Sharing Facility) queues and nodes.
Ensure workload balancing across grid nodes.
Monitor grid activity to ensure efficient execution of SAS-generated code.
SAS Environment & Metadata Management
Maintain and administer SAS Metadata via SAS Management Console (SMC).
Create and manage users, groups, and roles.
Secure and manage SAS folders and metadata permissions.
Define and update server definitions.
Monitor logs within SMC.
Create and manage SAS and RDBMS libraries (Teradata, Oracle, SQL Server, Snowflake).
Salary Range: $140,000 to $160,000 per year