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Harris healthcare

Quality Assurance Analyst

Reposted One Month Ago
In-Office or Remote
46 Locations
55K-65K Annually
Mid level
In-Office or Remote
46 Locations
55K-65K Annually
Mid level
Create and execute test plans, cases, and scripts for features, bug fixes, integrations, and releases. Investigate, document, track, and validate defects and customer issues. Communicate release changes and draft release notes. Use AI-assisted tools when appropriate and contribute to QA process and standards improvements.
The summary above was generated by AI
Primary Functions

Reporting to the Mobile Team Lead, the Quality Assurance Analyst’s key responsibilities will include:

  • Create, maintain, and execute test plans, test cases, and test scripts for new features, bug fixes, integrations, customer scenarios, and release validation, including functional, exploratory, regression, and developer work item testing.
  • Document, investigate, reproduce, track, and validate software defects, enhancement requests, and customer-reported issues in collaboration with developers, product owners, support staff, and other stakeholders.
  • Communicate release changes through clear release notes and demonstrations of new features for customers, peers, and internal stakeholders.
  • Use approved AI-assisted tools, where appropriate, to support test planning, defect analysis, documentation, and release note drafting.
  • Contribute to continuous improvement of QA processes, testing standards, documentation, and release readiness practices.
QualificationsRequired Education/Experience
  • Experience testing software applications, creating and executing test cases, validating expected results, documenting defects clearly, and applying strong attention to detail.
  • Excellent verbal and written communication skills, including the ability to write clear defect reports, release notes, and customer-facing documentation.
  • Ability to work effectively with developers, support staff, product stakeholders, and other cross-functional team members.
  • Strong knowledge of PC and LAN environments, primarily using Windows Server and Windows operating systems.
  • Proficiency with Microsoft Office applications and the ability to use software tools for data entry, analysis, documentation, presentations, and calculations.
  • Ability to manage priorities, meet deadlines, and work independently in a remote team environment.
Preferred Education/Experience
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Criminal Justice, or a related field.
  • Working knowledge of SQL, relational databases, and database concepts.
  • Experience with client/server, web, and mobile applications, including iOS and Android platforms.
  • Experience testing public safety, law enforcement, records management, CAD, mobile computing, or field reporting software.
  • Experience working in an Agile software development environment.
  • Experience using issue tracking, test management, or work management tools such as Jira.
  • Experience with source control concepts or tools.
  • Experience with API testing, integration testing, data validation, or test automation is a plus.
  • Experience with public safety or law enforcement software is a plus; prior SmartCOP software experience is especially helpful.
Desired Job-Specific Competencies and Skills
  • Strong curiosity and persistence when investigating software behavior and reproducing reported issues.
  • Strong customer empathy and an understanding of the importance of reliable software in mission-critical public safety environments.
  • Ability to think from the perspective of end users, including officers, dispatchers, supervisors, records personnel, and support staff, and apply diagnostic and problem-solving skills to develop logical, documented recommendations with the appropriate teams.
  • Ability to translate technical findings into clear, actionable information for both technical and non-technical audiences.
  • Ability to balance quality, release timelines, customer impact, and team priorities.
  • Openness to learning and responsibly applying AI-assisted tools to improve testing efficiency, documentation quality, and team productivity.

Salary range: $55,000 - $65,000 USD per year.

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