Quality Assurance Analyst

Eliassen Group

Boston (MA)

Hybrid

Confidential

Full time

11 days ago

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Benefits offered by this job

Medical
Dental
Vision
401k with company matching
Life insurance

Job summary

Eliassen Group is seeking a Quality Assurance Analyst to develop and execute test plans, leverage AI-assisted techniques, and support a fast-paced QA organization across multiple projects. Strong manual testing skills, SQL basics, and experience with OpenText Quality Center/ALM are required.

Insurance knowledge is a plus to accelerate ramp-up. The role offers hybrid work with four onsite days in Boston, MA or Woodbridge, NJ and benefits including medical, dental, vision, and a 401k with company

Qualifications

  • 3–10 years of software testing experience, preferably in Property and Casualty insurance.
  • Hands-on use of AI-powered testing concepts and tools.

Responsibilities

  • Develop, document, and execute detailed test plans, test cases, and test scripts.
  • Participate in reviews and provide quality input early in the SDLC.
  • Plan test schedules and strategies aligned to scope and timelines.
  • Facilitate test plan reviews with PMs, BAs, and UAT leads.
  • Document tests, results, and defects using ALM/QC.
  • Create and manage test data, including automated testing data.
  • Apply Generative AI to test design, data creation, and documentation.
  • Identify opportunities to improve coverage and quality with AI methods.
  • Report project quality and readiness using standard templates.
  • Collaborate with developers and stakeholders to ensure quality standards.

Skills

Manual testing
SQL basics
AI-assisted testing
Communication
Independent work

Tools

OpenText Quality Center/ALM

Job description

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.
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