Quality Assurance Analyst
Summary
QA Analyst designs and runs test cases for Infor’s workforce-management scheduling software, automating tests and tracking defects in an Agile team.
We are seeking a highly motivated and detail-oriented Quality Assurance Analyst to join our growing Workforce Management organization. Infor Workforce Management is a powerful scheduling solution that focuses on employee scheduling, and time and attendance tracking, serving a Fortune 500 client portfolio.
- Actively participate in planning, preparing and executing effective test efforts
- Effectively use test tools, defect tracking tools and other test support tools and identify and implement process improvements where applicable
- Prioritize testing tasks based on goals and risks of projects and ensure testing milestones, activities and tasks are completed as scheduled
- Report the status of test planning, defects and execution activities, including regular status updated to the project team using quality metrics
- Work as part of a dynamic team in an Agile environment with minimal supervision
- Ensure traceability between product requirements, delivered code and test case verification
- Maintain and extend test coverage along with designing test cases from user stories, creating appropriate tools, utilities, and automation scripts that assist in functional testing and to create test data
- Share best practices and improve processes within and across product teams
- Become subject matter expert in respective modules, maintain expert functional and technical product knowledge
- Participate in planning and/or creation of test automation
- 4+ years of professional experience in testing and QA
- Structured test planning and execution including ability to turn requirements into good test cases
- Strong knowledge of Test Automation, Coding and SQL
- Strong communication, analytical and problem-solving skills
- Understanding of web applications and multi-tiered product architectures
- Flexible to work across different time zones and hybrid work model
- Bachelor’s Degree in Computer Science, Engineering or a related field of study
- Knowledge of the Agile methodology
- Gen AI tools knowledge and experience in using AI for testing
- AWS/Cloud Architecture knowledge
- Experience in all stages of application testing, including functional, usability, regression, load/stress and performance testing
- Knowledge of Jira and other Atlassian tools