Sr Associate Analytics Software Tester - Hybrid 

Nice to meet you!

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.

We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here.

About the job

The Risk Solutions team is looking for a Sr Associate Analytics Software Tester to exercise analytical methodologies to test and validate statistical algorithms and analytical software. As a member of a diverse and highly experienced team, you will get the opportunity to develop and enhance your skills and abilities, and to contribute knowledge and ideas that increase customer satisfaction, profitability and quality of our regulatory solutions.

As a Sr Associate Analytics Software Tester, you will:

• Plans, documents, and performs functional, validation, and systematic testing for new and existing software.
• Numerical validation includes: independent coding, cross-validation with existing SAS products or third-party products, equivalence, simulation, or predictive performance.
• Reports defects, evaluates fix requests, and verifies fixes.
• Automates regression testing on all applicable platforms and maintains benchmarks.
• Reviews software design during development stage and provides feedback to developers.
• Stays current with analytical methodologies by researching literature, and participating in courses or conferences.
• Communicates with developers, product marketing managers, and industry experts to define testing strategies and coverage.
• Reviews software documentation and provides feedback.
• Assist Tech Support and consultants in resolving customer issues
• Works on problems of moderate scope where analysis of situations or data requires consideration of a variety of factors. Exercises some independent judgment to determine appropriate action. Builds productive working relationships across teams.

Required Qualifications

• 2 years of experience or some related experience with a Ph.D.
• Master’s degree or a Ph.D. in statistics, biostatistics, applied mathematics, economics or a related field
• Advanced programming skills in data management and analysis.
• Advanced knowledge in several analytical disciplines.
• Basic modular programming skills (e.g., SAS Macro, functions/modules in Python or Lua).
• Basic scripting skills for test automation.
• Equivalent combination of education, training and experience may be considered in place of the above qualifications.
• You’re curious, passionate, authentic and accountable. These are our values and influence everything we do.

Preferred Qualifications

• Background in risk management, finance, or statistical modeling.
• Experience developing, deploying, and maintaining infrastructure in a public cloud platform, such as Azure, AWS, or GCP

Diverse and Inclusive

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.

Additional Information:

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.

Job level 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.

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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