Data Intelligence Quality Assurance Analyst

About the Role

Key Responsibilities

• Support CDIS Development lifecycle and QA Team processes by participating in requirements grooming and sprint planning to ensure clear understanding and traceability of user stories and acceptance criteria.
• Interpret user stories and business requirements into actionable validation criteria and data-driven test cases.
• Develop and execute SQL queries to validate business logic, data transformations, and back-end implementation against requirements.
• Collaborate with developers, product owners, and QA team to clarify acceptance criteria and resolve requirement ambiguities.
• Perform functional validation and support UAT, ensuring features meet business needs from both a data and UI/UX perspective.
• Identify gaps, defects, or misalignments between implementation and business expectations through data analysis.
• Document findings, test outcomes, and data validation results, providing concise reporting to business and technical stakeholders.
• Support QA team in developing functional test cases and ensuring coverage of key business flows.
• Assist in traceability matrix development, linking user stories to validation and test steps.
• Monitor and communicate progress of data validation and test efforts, escalating issues as needed.

Requirements

• Bachelor's degree in computer science or information systems and 4+ years of professional experience or master's degree and 2+ years of professional experience.
• Applied understanding of Enterprise Data Warehouse concepts.
• Strong knowledge of relational databases and SQL.
• Demonstrated experience in application operations support, including process monitoring, troubleshooting, root cause analysis, and defect lifecycle management.
• Understanding of, and practical experience with, SDLC and STLC frameworks.
• Experience performing QA, UAT, Regression, and Integration tests.
• Intermediate knowledge of Python and Java.

Nice to Have

• Master's degree and 4+ years of experience, or an equivalent combination of education and work experience, testing data analytics solutions using Python and/or MSSQL, including API testing and troubleshooting.
• Banking, Financial Services, and/or Cyber Security experience.
• Advanced knowledge of Java and testing automation frameworks.