Associate Quality Analyst

Optum Insight is partnering with payers, providers, governments, and life sciences companies to simplify and enhance clinical, administrative, and financial processes through software-enabled services and analytics, while advancing value-based care as part of Optum's broader mission to help millions of people live healthier lives. Through this work, teams contribute to better health outcomes by improving how care, data, and services connect across the health system. If you reside near Eden Prairie, MN (MN101, MN102, MN103), Minnetonka, MN (MN006, MN017), Washington, D.C. (DC007, DC030), Cypress, CA (CA120), Atlanta, GA (GA019), Metairie, LA (LA013), Columbia, MD (MD101), Richardson, TX (TX023), San Antonio, TX (TX04X, TX547), Draper, UT (UT027), Wausau, WI (WI012), you'll enjoy the flexibility of a hybrid-remote position* as you take on some tough challenges. If not, open to remote outside of these areas Position Summary As an Associate Quality Analyst on the Optum Clinical Data Center (OCDC) team within Optum Insight Engineering in Raleigh, NC, you will play a key role in ensuring the quality, reliability, and performance of enterprise clinical data solutions hosted on Microsoft Azure. In this hybrid role, you will collaborate with software engineers, data architects, and technical leaders to design, execute, and deploy automated testing solutions and AI-driven quality tools. Your work will directly impact how clinical data is processed, integrated, and leveraged across the healthcare ecosystem to simplify clinical processes, enhance analytics, and improve patient outcomes.

Design, develop, and deploy AI-powered solutions and automated testing capabilities to address complex quality assurance challenges across Azure-based clinical data systems, with an emphasis on responsible use of AI. Use enterprise-approved AI tools and automation platforms to streamline testing workflows, automate repetitive test execution, and drive continuous quality improvement. Evaluate emerging technology trends, Azure cloud tools, and intelligent testing frameworks to inform quality strategy, test automation design, and technical innovation. Participate in test planning, test scenario development, and automated test execution across software engineering and data quality lifecycles. Identify, record, document, and manage software defects through tracking platforms while analyzing root causes in cloud-native applications. Execute regression testing, API testing, and integration testing on Microsoft Azure environments to ensure high data integrity, reliability, and performance prior to production deployment. Collaborate with cross-functional software engineering teams and product stakeholders to validate system requirements and cloud architecture. You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Bachelor's degree or 4+ years of software quality engineering or software development experience 1+ years of experience in software quality engineering, software testing, or software development 1+ years of experience developing, maintaining, and executing test plans, test scenarios, and automated test scripts 1+ years of experience utilizing software automation platforms or developer tools to optimize engineering workflows 1+ years of experience working within software development lifecycles (SDLC) and standard quality assurance practices Hands on experience with Python or Java Preferred Qualifications Experience with Microsoft Azure cloud services and testing Azure-hosted applications, services, or data pipelines Experience integrating AI/ML capabilities, intelligent automation, or generative AI tools into software development and testing workflows Hands-on experience with test automation frameworks (e.g., Selenium,