Quality Assurance Analyst

Description: Hybrid 4 days onsite in either Boston, MA or Woodbridge, NJ Our client seeks a Quality Assurance Analyst to develop and execute test plans, improve coverage with AI-assisted techniques, and support a fast-paced QA organization across multiple concurrent projects. The role requires strong manual testing skills, basic-to-intermediate SQL, and comfort applying Generative AI to test design, data creation, and documentation. Property and Casualty insurance knowledge is preferred and will support faster ramp-up. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $50.00 to $55.00/hr. w2 Responsibilities: Develop, document, and execute detailed test plans, test cases, and test scripts based on requirements and specifications. Participate in requirements reviews and provide quality input early in the software development lifecycle. Plan test schedules and strategies aligned to scope and timelines. Schedule and facilitate test plan reviews with project managers, business analysts, and UAT leads. Document test cases, results, and defects using OpenText Quality Center/ALM. Create and manage test data, including data for automated testing where applicable. Leverage Generative AI tools to design tests, generate scenarios, create data, and accelerate documentation while validating outputs for accuracy. Identify opportunities to apply AI-assisted testing techniques to improve coverage, productivity, and quality. Report project quality and release readiness using standard testing processes and status templates. Collaborate with developers, project managers, business analysts, and stakeholders to ensure quality standards are met. Support UAT with test artifacts, data, and knowledge transfer. Ensure compliance with policies, procedures, security requirements, and applicable regulations and standards. Evaluate emerging QA tools, automation capabilities, and AI technologies to recommend improvements and best practices. Experience Requirements: 3–10 years of software testing and/or Property and Casualty insurance experience. Experience with OpenText Quality Center/ALM for requirements, test, and defect management. Data testing experience, including SQL and working with XML and structured data. Hands-on use of Generative AI tools (e.g., Microsoft Copilot, ChatGPT, GitHub Copilot or similar) for test case generation, test data creation, documentation, and productivity. Understanding of AI-assisted testing concepts and ability to validate AI-generated artifacts. Familiarity with test automation frameworks and AI-enhanced testing tools is a plus. Exposure to Property and Casualty insurance preferred. Strong written and verbal communication and facilitation skills. Strong analytical, problem-solving, and critical thinking skills with attention to detail. Ability to work independently and collaboratively across teams and projects. Self-starter with negotiation, conflict resolution, and influencing skills. Continuous improvement mindset and interest in emerging technologies for QA. #J-18808-Ljbffr Eliassen Group