QA Analyst / IT Business Analyst - Hybrid

QA, business analysis, SDLC, STLC methodologies, SQL, data validation, test automation tools, AccelQ, Facets, healthcare, test architecture fundamentals, black-box, grey-box test design, manual testing, automated testing, UI, back-end, batch, data conversion, ETL, performance testing tools, AI tools, Jira, Confluence, Microsoft Office applications, Security testing, writing requirements, Facets, 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: EMIT QA Analyst The Quality Assurance (QA) Analyst champions quality across the full Software Development Life Cycle (SDLC), partnering with project teams to find and resolve defects early and often. The role owns QA activities for IT development and deliverables, including manual and automated testing, test data creation, and defect triage. On smaller projects, the QA Analyst also helps gather requirements. We’re looking for someone who brings fresh ideas and proven best practices from past roles, especially in using AI to improve testing efficiency, coverage, and overall quality. The ideal candidate will help shape and modernize our QA approach as we continue to evolve our testing capabilities. We are seeking candidates with strong QA and business analysis experience, knowledge of SDLC/STLC methodologies, SQL and data validation skills, experience with test automation tools, and the ability to leverage AI capabilities to improve testing efficiency and coverage. Experience with AccelQ, Facets, and healthcare or managed vision care environments is preferred. Project Scope: Run the business activities for our Client and Broker portals

Minimum 8 years of experience in a similar role, with a background in quality assurance and business analysis Solid understanding of software testing life cycle (STLC) activities, test architecture fundamentals, and black-box and grey-box test design principles Knowledge of manual and automated testing for UI, back-end/batch, and data conversion/ETL Working knowledge of databases, with the ability to write, run, and interpret SQL queries to support data development and research Experience managing test environments and test data across multiple environments Strong analytical, critical-thinking, and problem-solving skills Experience with test automation and performance testing tools Experience in AI tools for creating test cases and data Ability to prioritize and manage multiple tasks and projects at once Excellent written, verbal, and listening skills, plus strong presentation and documentation skills Strong organizational and teamwork skills, with the ability to coordinate across a diverse, fast-moving environment Experience with Jira, Confluence (or similar), and Microsoft Office applications