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Sas Analyst Jobs (NOW HIRING)

Atria Group LLC

SAS Developer/Analyst

Addison, TX · On-site

Our company provides application analysis, design, development and programming, software ... Requirement: 1. Apply and demonstrate expertise with efficient DATA step, SQL programming and SAS ...

Collabera

SAS Administrator / SAS Support

Irvine, CA · On-site

Analyzing SAS GRID technical environment options and deployment architecture, including Grid node ... configuration. Working with SAS GRID-related high availability and failover requirements, including ...

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How much do sas analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for sas analyst in the United States is $49.88, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $58.65 per hour, depending on experience, location, and employer.

What Does a SAS Analyst Do?

As a SAS analyst, your main responsibilities are to collect and interpret data and to use SAS software tools to draw conclusions from data. Your job duties include updating SAS programs, managing databases and large data sets, and evaluating business environments. Your job also entails writing reports and providing synopses of your analysis to supervisors, colleagues, and clients. You can earn qualifications such as SQL certification to expand your foundational knowledge and open up opportunities for similar jobs in the industry.

What does an SAS analyst do?

An SAS analyst uses SAS software to analyze data, generate reports, and develop models to support business decision-making. They often work with large datasets, perform statistical analysis, and require knowledge of programming, data management, and statistical techniques. SAS analysts typically collaborate with teams to interpret data insights and improve processes.

What are the key skills and qualifications needed to thrive as a SAS Analyst, and why are they important?

To thrive as a SAS Analyst, you need a strong background in statistics, data analysis, and programming, typically with a degree in mathematics, statistics, computer science, or a related field. Proficiency in SAS software, SQL, and data visualization tools, along with certifications like SAS Certified Base Programmer, is highly valued. Strong problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are crucial for accurately analyzing complex data, generating actionable insights, and communicating findings to stakeholders.

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

SAS Analysts often work with very large and complex datasets, which can pose challenges such as slow processing times, memory limitations, and difficulties in data cleaning or transformation. To address these issues, analysts typically use efficient coding practices, such as indexing, data partitioning, and leveraging SAS procedures optimized for large data. Collaborating with database administrators and IT teams can also help optimize data storage and retrieval. Continuous learning and staying updated with the latest SAS tools and best practices can make handling large datasets more manageable.

What are SAS Analysts?

SAS Analysts are professionals who use the Statistical Analysis System (SAS) software to analyze data, generate reports, and support business decision-making. They work across industries such as healthcare, finance, and marketing to interpret large datasets, develop statistical models, and provide actionable insights. Their expertise in SAS programming allows them to clean, manipulate, and visualize data efficiently. SAS Analysts often collaborate with other data professionals and stakeholders to ensure accurate and meaningful data analysis. They also play a vital role in automating data processes and improving data quality.

What is the difference between Sas Analyst vs Data Analyst?

AspectSas AnalystData Analyst
Required CredentialsOften requires SAS certification, SQL, and statistical knowledgeTypically requires SQL, Excel, and sometimes certifications like CAP or Microsoft certifications
Work EnvironmentPrimarily in industries like finance, healthcare, and insurance with a focus on SAS softwareBroader industries including marketing, finance, and tech, using various tools
Employer & Industry UsageCommon in companies using SAS for analytics and reportingWidely used across industries for data analysis and visualization

While both roles involve data analysis, a Sas Analyst specializes in using SAS software for statistical modeling and reporting, often within specific industries like healthcare or finance. A Data Analyst has a broader scope, utilizing various tools and techniques across multiple industries. The choice depends on the tools and industry focus you prefer.

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Sas Analyst jobs near you
SAS to Python / R Migration Developer

SAS to Python / R Migration Developer

Ignite IT

Suitland, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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