Analytics Software Tester

Burger King - Cary, NC

Full-time - Mid Level

Remote - Cary, NC

Food Services and Drinking Places

About the position

The Analytics Software Tester at SAS will play a crucial role in the IoT division, collaborating with development teams to ensure the quality and performance of cloud-based SAS IoT products. This position involves testing software throughout the release cycle, validating algorithms, and developing unique test cases that reflect real customer environments. The tester will also automate testing processes and contribute to the continuous improvement of testing methodologies.

Responsibilities

• Collaborate with IoT Development and Advanced Analytics Development teams.
• Perform software testing activities throughout the software release cycle.
• Numerically validate and benchmark algorithms for IoT data analysis.
• Develop unique test cases based on limited requirements or design specifications.
• Write algorithm prototype programs, automation scripts, and automated test cases.
• Create test data to simulate customer use cases and automate test processes in a CI/CD environment.
• Plan, document, and perform functional, validation, and systematic testing for software.
• Report defects, evaluate fix requests, and verify fixes.
• Automate regression testing and maintain test cases.
• Review software design during development and provide feedback to developers.
• Stay current with analytical methodologies through research and participation in courses or conferences.
• Communicate with developers and product managers to define testing strategies and coverage.
• Review software documentation and provide feedback.
• Assist Tech Support and consultants in resolving customer issues.
• Evaluate third-party tools/solutions for testing methodologies.

Requirements

• 5 years of professional experience in an analytical discipline or advanced knowledge in several analytical disciplines.
• Master's degree or Ph.D. in statistics, machine learning, computational mathematics, or a related field.
• Experience with high-level languages like SAS IML, MATLAB, Octave, Julia, or R.
• Experience with test automation and creating test data for execution and data integrity verification.
• Ability to work independently with minimal guidance.

Nice-to-haves

• Programming skills in SAS or related languages such as Python, C, Java, and Lua.
• Solid understanding of software testing tools, methodologies, and principles.
• Knowledge of SAS products and their applications.
• Strong knowledge of application development, data integration, and design principles.

Benefits

• Internal mobility program
• Career development resources
• Learning & Development Exchange
• Career Development Resource Library