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Sas Analyst Jobs (NOW HIRING)

DLH

Research Analyst (SAS and R) (Job 1368)

$50K - $70K/yr

Overview DLH Corp, is looking for a Public Health Research Analyst , using SAS or R ,to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC) . This ...

DLH

OR · On-site

$50K - $70K/yr

Overview DLH Corp, is looking for a Public Health Research Analyst , using SAS or R , to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC) . This ...

Tata Consultancy Services

SAS Administrator

Plano, TX · On-site

They are seeking a SAS Administrator to maintain and operate the SAS analytics environment, manage user access, and ensure compliance with security standards. Responsibilities : • Maintain and ...

Ra

SAS Analytics & Modeling- Banking

Jersey City, NJ

$100K/yr

You have a sound Knowledge of SAS, SQL and other analytical tools (R, SPSS). * You've experience working in Banking, Credit Cards, Marketing Analytics, Credit Risk Modeling. * You've experience ...

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How much do sas analyst jobs pay per hour?

As of Jun 29, 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 is the salary of data analyst in SAS?

The salary of a SAS Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills in SAS and data visualization can earn higher salaries.

Is it hard to get a job at SAS?

Securing a SAS Analyst position can be competitive, often requiring strong skills in data analysis, statistical software, and programming languages like SAS or SQL. Relevant certifications and experience with data management and reporting tools can improve job prospects, but the difficulty varies based on the job market and individual qualifications.

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 does a SAS analyst do?

A 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 skills in programming, data management, and data visualization. SAS certification and knowledge of statistical methods are common in this role.

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, understanding context, and making informed recommendations. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data environment.
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Sas Analyst jobs near you
Sr. SAS\SQL Data Analyst - Hybrid

Sr. SAS\SQL Data Analyst - Hybrid

TriOptus LLC

Manhattan, NY • On-site

Contractor

Posted 26 days ago

Job description

We are seeking a Senior Data Analyst with strong SAS programming and SQL skills to transform complex data into actionable insights that drive business decisions. The ideal candidate will combine technical expertise with business acumen to deliver meaningful analysis and recommendations.
The ideal candidate will be detail-oriented, self-motivated, and passionate about using data to solve complex business problems. Must be comfortable working both independently and as part of a cross-functional team.
Key Responsibilities
  • Develop and maintain SAS programs for automated reporting and advanced statistical analysis
  • Create and optimize SAS stored procedures and views for improved data accessibility
  • Maintain and develop data interfaces
  • Troubleshoot system and batch processing
  • Design and execute complex SQL queries to extract, transform, and analyze large datasets from multiple sources
  • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions
  • Build and maintain dashboards and reports to track key performance indicators and share business insights
  • Identify trends and patterns in data to support strategic decision-making
  • Document technical processes and maintain data dictionaries
  • Validate data quality and implement data cleaning procedures
  • Mentor junior analysts in SQL and SAS best practices

Required Qualifications
  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 5+ years of experience in SAS programming to mine, alter, manage, retrieve, and combine data from a variety of sources and perform statistical analysis
  • Proficient in SAS programming, including macro development and PROC SQL
  • Proficient with SAS data integration and query tools
  • 5+ years of advanced SQL skills including complex joins, window functions, and query optimization
  • 3+ years of experience in data visualization and tools
  • strong problem-solving and analytical thinking skills
  • Excellent communication skills with ability to present technical concepts to non-technical audiences

Preferred Qualifications
  • Master's degree in related field
  • Knowledge of statistical modeling and machine learning concepts
  • Healthcare or financial services industry experience
  • Certifications in SAS or SQL
  • Familiar with SAS Procurement Integrity solution

Technical Skills
  • SAS: Base SAS, SAS/STAT, SAS Macro language, PROC SQL
  • SQL: Complex querying, stored procedures, performance tuning
  • Linux: shell scripting, process scheduling, application scheduling, basic peripheral devices, and file systems
  • Database platforms: SQL Server, Oracle, or similar
  • API development
  • Data visualization: Power BI, Tableau, or similar
  • Microsoft Office Suite, especially Excel for data analysis

What We Offer
  • Remote work flexibility
  • Professional development opportunities
  • Collaborative team environment
  • Opportunity to work on impactful projects
  • Opportunity to convert to a permanent position

Required Skills : SAS,SQL
Basic Qualification :
Additional Skills : Data Analyst
Background Check : No
Drug Screen : No

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