Overview
Hybrid
Depends on Experience
Full Time
Skills
QA
data analyst
data analytics
engineering
quality assurance
SQL
python
jmeter
selenium
jira
confluence
audit
Job Details
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.
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