Sr. Analyst, IT QA

Overview

Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path—allowing patients to build trusting relationships with their medication brands. 

 

We’re not only committed to taking the pain out of the prescription process, but we’re also devoted to bringing the brightest minds together under one roof. We bring together diverse voices—engineers, pharmacists, customer service veterans, developers, program strategists and more—all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts. 

 

The Senior Analyst IT Quality Assurance is accountable for software testing of applications / products deliverables to ConnectiveRx Clients and operations team. The incumbent will work with program management, Business Analyst, Product Management, our development teams and other Quality Assurance teams to ensure reporting aligns with specifications and is complete and accurate based client and product deliverables. The Senior Analyst IT QA leads quality across our software delivery lifecycle while mentoring junior team members and influencing engineering best practices. This role combines hands-on testing and automation with technical guidance, standards definition, and cross-team leadership.

 

As a senior team member, the incumbent will play a critical role in shaping our quality strategy, preventing defects early, and fostering a culture where quality is a shared ownership—by both engineers and testers alike.

Responsibilities

Essential Functions

Testing & AutomationDevelop, execute, and review automated test plans, including functional, regression, integration, and system testingLead the development and maintenance of scalable, maintainable automated test frameworks & suites, effectively integrated into CI/CD pipelines and release processesLeverage AI to move at speed to automate testingPartner closely with Product, Engineering, and UX teams to review requirements and acceptance criteria and ensure testing aligns with intended use and traceability standardsProactively identify quality risks during backlog grooming, sprint planning, and design reviewsCommunicate quality status, risks, and recommendations clearly to technical and non-technical stakeholders throughout delivery cyclePerform advanced white box testing of all multi-layered components of complex system workflows (front-ends, APIs, databases, events, etc.)

Quality Leadership & StrategyOwn and drive quality standards, test strategies, and best practices across multiple projects or product areasProvide input into architectural and design discussions with a focus on testability, reliability, and risk mitigationIdentify systemic quality gaps and improve overall software quality maturityMentor and guide junior and mid-level QC engineers, providing technical coaching, feedback, and career development supportReview test cases, automation code, and defect reports to ensure accuracy, clarity, and effectivenessAct as a trusted resource for quality-related questions across the engineering organization

Defect Management & Continuous ImprovementLead defect triage discussions and ensure defects are prioritized appropriately based on risk and business impactAnalyze trends in defects, escapes, and test coverage to drive root-cause analysis and preventative improvementsPromote shift-left testing practices and continuous improvement initiatives

Qualifications

Education

 

• Bachelor’s Degree in computer science, engineering, or related field
• 3-5 years of experience in Software Quality Assurance or quality control engineering

Knowledge

• Familiar with test automation tools: UFT/Selenium
• Familiar with postman test/ soap UI/ UI portals/DB testing
• Automation knowledge is preferred
• Strong understanding of Agile/Scrum development methodologies
• Demonstrated experience with test automation frameworks and tools
• Solid understanding of modern software architectures, including APIs, microservices, and data-driven systems
• Proven ability to mentor, influence, and lead without direct authority

Skills

• Hands-on experience with quality lifecycle AI automation tools like AWS Nova are a strong plus, but also test automation tools like Selenium, REST-assured, Postman, or similar
• Experience integrating quality practices into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps)
• Direct experience with AWS cloud resources to quickly navigate different application layers
• Expo