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Amazon Sas Jobs (NOW HIRING)

Manufacturing Quality Engineer, Amazon Leo

Redmond, WA · On-site

$80K - $104K/yr

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable ... R, SAS, Matlab, etc.) experience - 2+ years experience in semi-automated and fully automated ...

Economist, Amazon Customer Service

Seattle, WA · On-site

$18.25 - $24.75/hr

... Matlab, SAS - Experience in prediction and forecasting in a research or industrial environment - Experience with handling of large datasets Amazon is an equal opportunity employer and does not ...

Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast ... R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Experience with ...

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Amazon Sas information

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$5

$54

$91

How much do amazon sas jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for amazon sas in the United States is $54.33, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $63.70 per hour, depending on experience, location, and employer.

What is an Amazon SAS?

Amazon SAS (Strategic Account Services) managers are professionals who work directly with Amazon’s third-party sellers to help them grow their businesses on the Amazon marketplace. They provide strategic guidance, performance analysis, and tailored recommendations to improve sales, operational efficiency, and customer satisfaction. SAS managers act as trusted advisors, helping sellers navigate Amazon’s tools, policies, and programs. Their goal is to foster long-term partnerships and drive mutual growth on the platform.

How does an Amazon SAS typically collaborate with other teams to resolve seller issues?

As an Amazon SAS, you will frequently work cross-functionally with teams such as Customer Support, Compliance, and Technical Support to address and resolve complex seller issues efficiently. This collaboration often involves coordinating communications, escalating urgent matters, and sharing insights to improve seller experience. Being proactive in building relationships with these teams and understanding their workflows is key to ensuring smooth problem resolution and delivering high-quality support to Amazon sellers.

What are the key skills and qualifications needed to thrive as an Amazon Solutions Architect, and why are they important?

To thrive as an Amazon Solutions Architect, you need a strong understanding of cloud computing, system design, and experience with AWS services, usually backed by a relevant degree and AWS certification. Expertise in using AWS tools like EC2, S3, Lambda, and CloudFormation, along with certifications such as AWS Certified Solutions Architect, is typically required. Excellent communication, problem-solving, and client management skills help you translate technical requirements into effective cloud solutions. These skills are essential for designing scalable, secure architectures that meet business needs and foster customer satisfaction.

What is the difference between Amazon Sas and Amazon Data Analyst?

AspectAmazon SasAmazon Data Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; familiarity with SAS softwareBachelor's in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentTech-focused, data-driven teams within Amazon's logistics and operationsBusiness units analyzing data to inform decisions across Amazon
Employer & Industry UsageAmazon's internal analytics and data science teamsAmazon's business units, often collaborating with analytics teams
Common Search & Comparison IntentUnderstanding roles involving SAS software at AmazonComparing data analysis roles within Amazon

Amazon Sas professionals focus on using SAS software for data analysis, often within technical teams. Amazon Data Analysts handle broader data interpretation and reporting across various departments. While both roles require analytical skills, Amazon Sas roles emphasize SAS expertise, whereas Amazon Data Analysts may use a wider range of tools and focus on business insights.

More about Amazon Sas jobs

What cities are hiring for Amazon Sas jobs?

Cities with the most Amazon Sas job openings:

What states have the most Amazon Sas jobs?

States with the most job openings for Amazon Sas jobs include:

Infographic showing various Amazon Sas job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $113,000 per year, or $54.3 per hour.

SAS developer || Reston, VA || Fulltime || Onsite

Smart IT Frame

Reston, VA • On-site

Full-time

Re-posted 26 days ago


Job description

SAS Developer
Reston, VA
Fulltime 
Onsite

Description:

  • Strong experience in programming languages of SAS, PL/SQL,Unix shell scripts, Python.
  • Proficiency in Amazon Web Services (AWS) architecture and technologies such as S3, Redshift, RDS, Glue (Catalog and ETL), EMR, Lambda, Step Functions, SQS/SNS, and ECS, CloudWatch, Secrets Manager among others
  • Experience in one or more of the following software skills: API Gateway, JSON, PARQUET, XML, Docker, Urban Code, Jenkins, GITLab, Terraform
  • Strong experience in data engineering, data warehousing, data security and ETL processes
  • Experience creating and using APIs for developing or programming software
  • Strong SQL Experience
  • Strong analytical and problem-solving skills
  • Ability to drive code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate
  • 5+ years' AWS cloud-based technology services experience
  • Must be a self-starter and motivated to learn new technologies, skills, and knowledge required by duties and responsibilities in required timeframe
  • Adept at leading resources, and people to ensure successful on schedule project completion

Desired Skills 

  • Skilled in performance tuning and working with large data sets
  • Experience with data modeling, data architecture, and data governance
  • Experience in Agile ceremonies and best practices