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Sas Data Jobs (NOW HIRING)

This includes ownership of SAS SpeedyStore and SAS Data Accelerator, which enable high-speed model scoring, code acceleration, SAS Visual Analytics (VA) acceleration, and model training. You will ...

New

This includes ownership of SAS SpeedyStore and SAS Data Accelerator, which enable high-speed model scoring, code acceleration, SAS Visual Analytics (VA) acceleration, and model training. You will ...

New

RIT Solutions, Inc. is seeking a Data Engineer (SAS Programmer) to support SAS modernization efforts by analyzing existing workflows and developing scalable data pipelines for a cloud migration ...

SAS Data warehouse support. Incident management and User testing. This is a user support role (not call center). Primary duties include data validation, researching and responding to user incidents ...

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 ...

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 ...

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 ...

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

Understanding of financial data structures and analytics. • System & Infrastructure Knowledge: Familiarity with networking, storage, and UNIX-based SAS installations. • Disaster Recovery ...

Showing results 41-60

Sas Data information

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$54

$77

How much do sas data jobs pay per hour?

As of Aug 20, 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 a sas data analyst?

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.

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 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 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 SAS data jobs are in high demand?

SAS data analyst and SAS data scientist roles are in high demand due to the increasing need for data analysis and predictive modeling across industries. These positions often require proficiency in SAS programming, statistical analysis, and data management, with certifications like SAS Certified Data Scientist enhancing job prospects.
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:

Infographic showing various Sas Data job openings in the United States as of August 2026, with employment types broken down into 53% Full Time, 3% Part Time, and 44% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

Product Manager- Data Acceleration

SAS

Cary, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Product Manager- Data Acceleration- Hybrid, Cary, North Carolina

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

 

About the job

As a Product Manager for Data Acceleration, in collaboration with the wider product strategy team, you will be responsible for driving product strategy across the SAS platform for high-performance data processing and model execution. In this high-impact role, you will define and evolve the product direction for a portfolio of technologies that accelerate data access, transformation, and analytics execution across hybrid and cloud-native environments.

This includes ownership of SAS SpeedyStore and SAS Data Accelerator, which enable high-speed model scoring, code acceleration, SAS Visual Analytics (VA) acceleration, and model training. You will also lead the strategy for integrating with open file formats such as Parquet and Iceberg, and enabling remote access to cloud storage platforms like AWS S3, Azure Data Lake Storage, and Google Cloud Storage.

You will work closely with software engineering teams to develop a platform product vision for this domain and craft detailed requirements to support the development of a robust and scalable product roadmap.

As a Product Manager, you will:   

  • Shape the strategic direction for interoperability with modern data platforms, lakehouse technologies, cloud storage services, and open-table formats to ensure SAS remains an integral component of customer data architectures, while aligning product plans with corporate strategy and business objectives.
  • Define and maintain product roadmaps, priorities, and OKRs; communicate product risks, decisions, and roadmap updates to stakeholders.
  • Lead product requirements definition and prioritization based on customer, stakeholder, prospect, and market input, and conduct discovery to translate findings into product strategy.
  • Drive alignment across Engineering, Design, UX, Program Management, and related teams to deliver customer and business outcomes.
  • Define success measures, own post-launch analysis, and develop business cases and product investment recommendations based on customer, market, financial, and product-health data.
  • Help shape pricing, positioning, collateral, launch readiness, support readiness, and knowledge transfer, while representing the product externally with customers and prospects.
  • Own product lifecycle management decisions and identify emerging technologies, business threats, and new market opportunities.
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications 

  • 5+ years of experience in product management and/or software engineering related to data management, decision management, or AI/analytics.
  • Bachelor’s degree or higher, preferably in data science, computer science, or a related quantitative discipline.
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
  • Solid working knowledge of modern data management, cloud databases (SingleStore, Snowflake, Google BigQuery, Azure Synapse), and Spark-based environments like Databricks.
  • Familiarity with one or more open-source runtimes, packages, and libraries (like Python).
  • Understand concepts of Software-as-a-Service (SaaS) and/or Platform-as-a-Service (PaaS) business models.
  • Familiarity with Cloud Platform provider technologies.
  • Ability to translate complex technical and business information for diverse audiences.

Additional competencies, knowledge and skills  

  • Exceptional written and verbal communication skills with the ability to engage in technical discussions with customers, partners, and industry analysts.
  • Excellent critical-thinking skills with a demonstrated history of making sound decisions in a fast-paced environment.
  • Proven ability to work in a highly collaborative, global environment across multiple business units.
  • Ability to innovate and define creative solutions with compelling user experiences that exceed customer expectations.

World-class benefits  

Highlights include...

  • Comprehensive medical, prescription, dental and vision plans.
  • Medical plan options include:
    • PPO with low annual deductible and copays.
    • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
  • Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
  • An industry-leading 401k plan.
  • Tuition Assistance Program and programs and resources to support your development
  • Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
  • Volunteer Time Off, parental leave and unlimited paid sick days.
  • Generous childcare benefits for all full-time employees.

You are welcome here.

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

Additional Information:

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. 

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

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