The Data Quality Assurance Analyst works closely with business partners and the development team to ensure applications meet business requirements and are free of major defects.  This role is responsible for test case creation & execution, defect lifecycle management, reporting status, and utilize test automation.

 

Primary Job Accountabilities/Responsibilities

• Work closely with business partners in understanding user needs, project scope, and deliverables
• Manage different phases of testing as needed (unit, functional, integration, user acceptance, regression, and performance/load)
• Innovate solutions to problems while following established processes. Senior teammates are still needed to provide oversight on solutions to complex problems.

Quality Assurance

• Create and execute test cases according to test approach; Obtain or create test data as needed; Obtain business approval for test results; Provide daily updates
• Contribute to all agile/scrum rituals
• Contribute to the improvement of the testing process
• Provide test cases for User Acceptance Testing (UAT) or regression as needed
• Work with UAT on reported issues
• Develop ad hoc queries and reports based on the needs of the business and technical teams
• Manage defects reported in production and during the QA testing phase against requirements and system standards
• Participate in team defect reviews, provide root cause where possible
• Leverage test automation
• Mentor and train testers on test tools & process

Data Quality

• Develop, test, code review, and implement data quality rules for applicable data quality dimensions (accuracy, completeness, validity, consistency, uniqueness, timeliness, integrity, and reasonability)
• Leverage the existing data quality framework
• Review and optimize SQL code
• May be allocated 25% to Business Analyst activities including gathering and clarifying requirements

Basic Qualifications

• Bachelor of Science in a related field or equivalent work experience
• Advanced level of english
• 2 years of IT QA Experience
• Experience with programming languages
• Experience with test automation tools (Selenium, Pytest, etc.)
• Experience with data repositories/data warehouse
• Experience with SDLC in Enterprise applications

Preferred Experience

• Strong SQL, experience working with large volume of data (MS SQL Server)
• Experience testing LLM chatbot/RAG, NLP, GenAI, or Machine Learning (ML)
• Knowledge of LLM, RAG, and ML concepts
• Experience with test automation framework
• Experience with Python. R/Scala/C++/Java helpful
• Experience with API testing, Prompt Engineering
• Experience with Azure Databricks/DevOps
• Knowledge of Data Lake, Data Lakehouse, Data Pipelines
• Familiar with MS Fabric, Unity Catalog, medallion lakehouse architecture
• Lead experience
• Experience with Business Analyst role