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Sas Data Jobs (NOW HIRING)

Data Modeler Engineer

Raleigh, NC · On-site

$53.25 - $69/hr

The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS data analysis understanding, and enterprise data warehousing. This ...

Perform data validation, querying (SQL Server, ODBC), and data merging across platforms (SQL Server and reporting tools) * Generate data files and reports * Compare query outputs against existing ...

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Data Modeler Engineer

Charlotte, NC · On-site

$53.50 - $69.25/hr

The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS data analysis understanding, and enterprise data warehousing. This ...

Sr. Software Engineer

Louisville, KY · On-site

$117K - $155K/yr

SAS Data Analysis and Reporting Location: Louisville (Onsite) 7+ years of extensive experience in SAS platform administration and performance tuning. Install, configure, and maintain SAS software ...

Needs someone who knows SAS, can look at data, analyze it, pull data with both SAS and SQL. This person will be good in excel as well. Definitely a numbers/ data type person. Client will hire an ...

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS data analysis understanding, and enterprise data warehousing. This ...

Proficiency in Base SAS, SAS Macro, PROC SQL, data steps, and proc steps for data manipulation, creation, and analysis. * Knowledgeable in SAS Hash programming. * Experienced in extracting ...

Use Base SAS SAS Macro SASSQL and CAS procedures for data manipulation preparation and transformation * Collaborate with data engineers to ensure data quality and manage data for analysis * Required ...

SAS Metadata level security implementation * Any additional SAS certification. * Improve ... Data modelling, design & implementation based on recognized standards. * Software installation and ...

SAS Metadata level security implementation * Any additional SAS certification. * Improve ... Data modelling, design & implementation based on recognized standards. * Software installation and ...

Creating users, groups, roles on the SAS Meta data server. Troubleshooting the SAS server related issues. Creating SAS libraries and registering SAS datasets. Applying Hotfixes on SAS Servers and ...

Build, Test and Maintain SAS codes and data sets Experience using SAS Management Console (SMC). Creating Users/Groups/Roles Creating and securing folders Creating and using Access Control Templates ...

Access Data, Managing Data , Handling Errors, Macro Processing , Advanced Programming Techniques. * Strong knowledge of SAS architecture. * Knowledge of Efficient ways to flow huge data from various ...

SAS Metadata level security implementation * Any additional SAS certification. * Improve ... Data modelling, design & implementation based on recognized standards. * Software installation and ...

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Sas Data information

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$8

$54

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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.

Job description

North Carolina Electric Membership Corporation Employer Website Posting

North Carolina Electric Membership Corporation is seeking a Senior Data Analyst at its Raleigh, NC location.

Job Description: Mentor junior data analysts. Identify enterprise and departmental data elements and facilitate management of that data. Develop and implement data collection and management strategies that optimize quality and consistency. Proactively maintain the data for accuracy, completeness, consistency, validity, integrity and timelines. Work with management to prioritize business and information needs, visualizations, and data discovery. Locate and define new process improvement opportunities.

Minimum Requirements: Position requires a Bachelor of Science degree (or foreign equivalent) in Data Science, Applied Data Analytics, Computer Science, or a related field of study. Position requires three (3) years of experience as a Data Analyst or a related occupation. Position requires three (3) years of experience with each of the following: machine learning algorithms, including supervised, unsupervised, and deep learning techniques (RandomForest, Decision Tree, Gradient Boosting, LGBM, and regression); libraries including scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, and Matplotlib, Seaborn; information technology systems, data management, and reporting; reporting packages, databases (SQL), cloud data stores and development environments (Databricks or Azure) programming (python, scripting or ETL frameworks); statistics and using statistical packages for analyzing datasets (Excel, R, SPSS, or SAS Data Management); data models, visualization, database design, data mining and segmentation techniques; queries, report writing and presenting findings, dashboarding, and visualization (PowerBi, or Tableau).

How to Apply: Send resume to careers@ncemcs.com, reference Job No. 150 or click “Apply”