Senior QA Data Analyst

Salary: Open + Bonus

Location: Chicago, IL or Coppell, TX

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

• Bachelor's degree
• 5-7 years of experience in QA, data analysis or quality engineering roles.
• 5+ years of experience relevant to Quality Control/Testing experience.
• SQL query writing and Python
• Working Knowledge of testing tools - SpiraTest, JMeter, Selenium, Zephyr
• Competent in Atlassian products - Jira Software, Confluence
• Audit experience is a plus

Responsibilities

• Analyze large data sets to validate data quality and consistency
• Use statistical and analytical techniques to assess QA metrics and KPIs
• Define, implement, and maintain KPIs and quality metrics that measure test execution, defect trends, release readiness and process efficiency.
• Enhance and enforce software quality standards, processes & procedures.
• Ensure all the agreed deliverables are completed to the required level of quality.
• Validate that processes follow the defined SDLC and Agile methodology.
• Ensure Compliance with the implemented standards that all testing and quality assurance processes comply with required level of quality, industry standards and regulations.
• Be the advocate for testability, traceability, drive best test engineering practices and defect prevention.
• Conducts internal testing and monitor exceptions.
• Complete assigned Quality Control reviews with a focus on verifying controls and risk reduction by defining and executing assessment/testing strategies.
• Manage stakeholders and other business/function QC participation as part of assigned reviews.