QA Analyst - Project Lead - Local to SC ONLY

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

UAT
SDLC
Automated Testing
Medicaid

Job Details

Quality Assurance Analyst - Project Lead

Onsite, Local to SC Only

Interview Process: 1 round, Virtual/Online

Duration of the Contract: 12 months

Possibility for Extension: Yes

Work Location: Hybrid (4 days in office, 1 days remote).

Candidate Location: Candidate MUST be a SC resident. No relocation allowed.

REQUIRED EDUCATION:

Bachelor s degree in a technical, business, healthcare or related field. Years of experience can substitute for formal education.

Scope of Work and Skills Required:

  • Develop test plans, QA and/or User Acceptance Testing processes and test cases for product management and software development teams.
  • Develop and maintain SDLC traceability from test cases to requirements and designs/software components
  • Design and support user interface testing of applications and regression testing.
  • Test software applications for reliability and stability.
  • Implement testing programs to perform quality assurance on technical applications including negative testing and usability.
  • Design and/or run automated testing scripts with oversight for deployment of tests
  • Participate in defect triage, retest, and resolution
  • Create quality assurance documentation and reports as required
  • Adhere to established software testing governance policies, best practices and guidelines and recommend improvements
  • Perform reviews, walkthroughs, or inspections and adhere to established governance5 years translating business requirements or policy documentation into test cases and scenarios
  • 5 years building test cases and scenarios into test systems
  • 3 years deep knowledge of healthcare operations (preferably Medicaid), business processes
  • 3 years should be able to communicate and publish status reports of all open issues and gaps found during test phase and articulate the details to the Development teams

Thanks & Regards,

Mansi Jain

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.