Quality Assurance Analyst

MACHINE LEARNING TECHNOLOGIES LLC; Columbia (SC); On-site; USD 75,000 - 110,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Columbia, SC is seeking a Quality Assurance Analyst for a 12-month engagement. The role requires extensive test design, execution, and governance experience in healthcare settings.

Candidates should be proficient in both manual and automated testing and familiar with common test management tools. Responsibilities include creating test plans, maintaining SDLC traceability, and guiding defect triage with development teams.

Qualifications

• 5+ years translating business requirements or policy documentation into test cases and scenarios.
• 5+ years of experience building and executing test cases within test management systems.
• 3+ years deep knowledge of healthcare operations (Medicaid experience strongly preferred).
• 3+ years direct hands-on experience with formal test design tools.

Responsibilities

• Perform functional, system, regression, and UAT testing to identify and resolve issues.
• Develop detailed test plans, test cases, and testing processes from requirements.
• Maintain SDLC traceability from requirements through test cases and execution.
• Execute manual and automated testing including negative and usability testing.
• Design and support UI testing and regression testing activities.
• Participate in defect triage, retesting, and issue resolution with developers.
• Create and maintain QA documentation, metrics, and status reports.
• Ensure compliance with QA governance standards, policies, and best practices.
• Conduct reviews, walkthroughs, and inspections of deliverables.
• Communicate test progress, risks, and gaps clearly to stakeholders.

Skills

Test design from requirements

Test management systems

Healthcare operations knowledge

Formal test design tools

Tools

Azure DevOps

JIRA

Confluence

Job description

Job Overview

Job ID: J52938

Job Title: Quality Assurance Analyst

Location: Columbia, SC

Duration: 12 Months + Extension

Domain Exposure: Healthcare

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Key Responsibilities

• Perform functional, system, regression, and user acceptance testing (UAT) to identify and resolve application issues.
• Develop detailed test plans, test cases, test scenarios, and testing processes based on business and technical requirements.
• Maintain full SDLC traceability from requirements through test cases and execution.
• Execute manual and automated testing, including negative and usability testing.
• Design and support UI testing and regression testing activities.
• Participate in defect triage, retesting, and issue resolution with development teams.
• Create and maintain QA documentation, metrics, and status reports.
• Ensure compliance with established QA governance standards, policies, and best practices.
• Conduct reviews, walkthroughs, and inspections of deliverables.
• Communicate test progress, risks, issues, and gaps clearly to technical and business stakeholders.

Required Skills & Experience

• 5+ years translating business requirements or policy documentation into test cases and scenarios
• 5+ years of experience building and executing test cases within test management systems
• 3+ years deep knowledge of healthcare operations (Medicaid experience strongly preferred), business processes
• 3+ years direct hands‑on experience with formal test design tools

Preferred Skills

• 5+ years large enterprise or e-business systems experience.
• 3+ years proficient in use of manual or automated testing tools such as Azure DevOps or Atlassian JIRA and Confluence
• 3+ years prior experience working in a standard SDLC (waterfall methodology) & in an AGILE delivery
• 5+ years of experience in Quality Assurance can substitute for formal education.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.