Quality Assurance Analyst

Eliassen Group; Boston (MA); Hybrid; USD 69,000 - 76,000; Full time

Job summary

Eliassen Group in Boston is seeking 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 to accelerate ramp-up.

Qualifications

• 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 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.

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.

Skills

Manual testing

SQL

AI-assisted testing

Test design

Analytical thinking

Communication

Tools

OpenText Quality Center/ALM

XML

Generative AI tools

Job description

Description

Hybrid 4 days onsite in either Boston, MA or Woodbridge, NJ

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.