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Sas Data Analyst Jobs (NOW HIRING)

Sr..Data Analyst/SAS Reporting

Hartford, CT · On-site

$86K - $109K/yr

Keylent Inc is seeking a Senior Data Analyst/SAS Reporting to support the National Quality Management Quality Reporting Team. The role involves technical components related to data ingestion ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization ...

* Must Haves: Strong SQL, SAS Experience (Data Research using SAS) Database experience with (Ex: Sybase ((preferred), Oracle, DB2 (preferred)), Strong background in data analysis with experience ...

Design and program SAS/SQL code to prepare data for analysis and modeling. Document existing and new SAS and SQL code processes. Prepare ad-hoc reports using MS Excel, Word and PowerPoint. Follow ...

Construct and document analytic datasets using SAS, SQL, R, or other programming tools. * Respond to data requests adhering to department standards and procedures. * Support compliance monitoring and ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization ...

Data Analyst

Washington, DC · Hybrid

$100K - $117K/yr

Write SAS programs to generate surveillance reports. * Provide routine analysis and interpretation of data, as well as data entry, coding, and transcription. * Develop presentation graphics ...

Data Analyst

Washington, DC · On-site

$100K - $117K/yr

Write SAS programs to generate surveillance reports. * Provide routine analysis and interpretation of data, as well as data entry, coding, and transcription. * Develop presentation graphics ...

Data Analyst

Washington, DC · On-site

$100K - $117K/yr

Write SAS programs to generate surveillance reports. * Provide routine analysis and interpretation of data, as well as data entry, coding, and transcription. * Develop presentation graphics ...

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Sas Data Analyst information

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How much do sas data analyst jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for sas data 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 is a SAS data analyst?

A SAS Data Analyst is a professional who uses SAS (Statistical Analysis System) software to collect, process, and analyze data for organizations. They are responsible for creating data reports, running statistical analyses, and generating insights that support business decisions. SAS Data Analysts typically work with large datasets, clean and validate data, and create visualizations to present findings to stakeholders. Their expertise in SAS programming helps companies leverage data for research, marketing, finance, healthcare, and other industries.

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 background in fields like mathematics, computer science, or a related discipline. Expertise in SAS programming, data manipulation tools, and familiarity with databases such as SQL are typically required, and certifications like SAS Certified Specialist can be advantageous. Attention to detail, problem-solving abilities, and effective communication are key soft skills that help in interpreting data and presenting insights to stakeholders. These skills and qualities are crucial for extracting actionable information from complex data sets and driving data-informed decision-making.

What types of projects do SAS data analysts typically work on, and how do they collaborate with other teams?

SAS Data Analysts often work on projects involving data extraction, transformation, and analysis to support business decision-making. They collaborate closely with data engineers to access and clean data, as well as with business analysts and stakeholders to understand project goals and present actionable insights. Communication and teamwork are essential, as analysts frequently participate in cross-functional meetings to ensure their analyses align with organizational objectives. Additionally, they may help automate reporting processes and contribute to ongoing data quality improvements.

What is the difference between Sas Data Analyst vs SAS Developer?

AspectSas Data AnalystSAS Developer
Primary RoleAnalyzes data, creates reports, and supports decision-making using SAS toolsDevelops, codes, and maintains SAS programs and applications
Skills & CertificationsProficiency in SAS Base, data analysis, and reporting; often requires a degree in statistics or related fieldStrong SAS programming skills, including macros and SQL; certifications like SAS Certified Data Scientist are common
Work EnvironmentBusiness analytics, healthcare, finance, and research sectorsIT departments, analytics teams, and software development environments

While both roles require SAS skills and often overlap in industries like finance and healthcare, Sas Data Analysts focus on analyzing data and generating insights, whereas SAS Developers primarily build and maintain SAS applications and code. Understanding these differences helps in choosing the right career path or job search focus.

Is SAS in high demand?

SAS Data Analysts are in high demand across industries such as healthcare, finance, and government due to their expertise in data management, statistical analysis, and proficiency with SAS software. The role often requires knowledge of data visualization, programming, and certifications, and job growth is driven by increasing reliance on data-driven decision making.

What is the salary of SAS data analyst?

The average salary of a SAS Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SAS, data visualization, and statistical analysis tend to earn higher salaries.
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Infographic showing various Sas Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $103,758 per year, or $49.9 per hour.

SAS to Python / R Migration Developer

Suitland, MD • On-site

Ignite IT
11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 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