Analytics Software Tester

Job Locations US-NC-Cary HQ | US
Requisition ID
Research and Development
Visa Sponsorship
Travel Requirements

Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?”


If so, you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences, or answering critical questions. Curiosity is our code, and the opportunities here are endless.


What we do 

We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.


As the market leader in analytics, SAS empowers organizations to create and sustain true value from diverse Internet of Things (IoT) data and initiatives – whether that data is at the edge, in motion or at rest. The SAS IoT R&D team’s mission is to develop industry leading IoT products and solutions to use machine learning and streaming analytics to analyze streaming data, uncover hidden insights at the edge and make real-time, intelligent decisions in the cloud.


What you’ll do  

As an Analytics Software Tester in the Enterprise Quality Testing division (EQ) at SAS, you will work closely with the IoT Development team and Advanced Analytics Development team. You will be responsible for software testing activities, throughout the software release cycle. You will numerically validate and compare with the state-of-the-art algorithms developed by SAS for analyzing IoT data. You will be responsible of testing the cloud-based and premise-based SAS IoT products and solutions. You will work with limited requirements or design specifications to create unique test cases in accordance with criteria reflecting real customer environments. You will work with cross functional team members to review test design and test cases. You will work with test team members to write automation scripts and automated test cases. You will also create test data to test customer use cases, and you will be developing tools to automate test processes in CI/CD environment.


You will:

  • Exercise analytical methodologies to test and validate statistical algorithms and analytical software.
  • Design, develop, and execute high quality, flexible and scalable cloud-based applications, frameworks and tools in support of a variety of testing activities.
  • Plan, document, and perform functional, validation, and systematic testing for new and existing software.
  • Perform numerical validation of algorithms including independent coding, cross-validation with existing company products or third-party products, equivalence, simulation, or predictive performance.
  • Report defects, evaluate fix requests, and verify fixes.
  • Automate regression testing on all applicable platforms and maintain test cases.
  • Review software design during development stage and provide feedback to developers.
  • Stay current with analytical methodologies by researching literature and participating in courses or conferences.
  • Communicate with developers, product marketing managers, and industry experts to define testing strategies and coverage.
  • Review software documentation and provide feedback.
  • Assist Tech Support and consultants in resolving customer issues.
  • Keep current with SAS internal testing methodologies and approaches; regularly evaluate third-party tools/solutions.


What we’re looking for

  • You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
  • Master’s degree or a PhD in statistics, machine learning, computational mathematics, financial mathematics, operations research, or a related field.
  • Professional knowledge in at least one analytical discipline, or advanced knowledge in several analytical disciplines.
  • Experience with...
    • a high-level language like SAS IML, MATLAB, Octave, Julia or R.
    • test automation and automation infrastructure setup.
    • creating test data for test execution and data integrity verification.
    • Kubernetes and other cloud technologies.
    • creating automation scripts, preferably with Java or Python.
    • DevOps and Continuous Delivery.
    • deploying and testing cloud applications.
    • multiple operating systems, such as UNIX and Windows.


The nice to haves  

  • Demonstrated Apache Camel, Kafka, JMS experience.
  • Programming skills in SAS or language(s) related to assigned area. Some examples are: C, Java, Groovy, Python and Lua.
  • Solid understanding of software testing tools, methodologies and principles.
  • Knowledge of SAS products and their applications.
  • Knowledge of third-party products.
  • Strong knowledge of application development, data integration, and/or design principles.


Other knowledge, skills, and abilities

  • Ability to handle deadlines in a multi-tasking environment.
  • Ability to quickly learn new technical skills.
  • Capable of working independently with minimal guidance on day-to-day work and new projects or assignments
  • Strong written and verbal communication skills
  • Ability to communicate with people of various technical backgrounds, think analytically, write and edit technical material. Ability to write and present clearly on technical matters in a business context.
  • Resolve problems independently, escalate appropriately.
  • Ability to conceptualize business needs and translate into technical solutions in several business areas.
  • Desire and ability to mentor junior team members.



  • We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference.
  • Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it - and we can’t wait to see what you’ll bring.


This position will be seated out of SAS Headquarters in Cary, North Carolina


SAS looks not only for the right skills, but also a fit to our core values. We seek colleagues who will contribute to the unique values that makes SAS such a great place to work. We look for the total candidate: technical skills, values fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.


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 race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the Pay Transparency notice. 


Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience. 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.


All valid SAS job openings are located on the Careers page at SAS only sends emails from verified “” email addresses and never asks for sensitive, personal information or money. Should you have any doubts about the authenticity of any type of communication from, for, or on behalf of SAS, please contact us at before taking any further action.


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