Data Quality Assurance Analyst

*Hybrid, 3 days onsite, 2 days remote*

*We are unable to sponsor as this is a permanent Full time role*

A prestigious company is looking for a Data Quality Assurance Analyst. This role is focused on testing data, data analysis, data governance, and writing complex SQL queries.

Responsibilities:

• Analyze the business and functional requirements, understand the expectation from end user, review with Business Analysts/SMEs/UX Analysts and design test scenarios.
• Analyze large data sets to validate data quality and consistency
• Use statistical and analytical techniques to assess QA metrics and KPIs
• Define, implement, and maintain KPIs and quality metrics that measure test execution, defect trends, release readiness and process efficiency.
• Enhance and enforce software quality standards, processes & procedures.
• Ensures all the project agreed deliverables are completed to the required level of quality.
• Validate that processes follow the defined SDLC and Agile methodology.
• Ensure Compliance with the implemented standards that all testing and quality assurance processes comply with required level of quality, industry standards and regulations.
• Be the advocate for testability, traceability, drive best test engineering practices and defect prevention.
• Conducts internal testing and monitor exceptions.
• Complete assigned Quality Control reviews with a focus on verifying controls and risk reduction by defining and executing assessment/testing strategies.

Qualifications:

• Bachelor's degree and/or master's degree in computer science, Software Engineering, or equivalent practical experience.
• 5-7 years of experience in QA, data analysis or quality engineering roles.
• SQL query writing and Python is nice to have.
• Working Knowledge of testing tools - SpiraTest, Jmeter, Selenium, Zephyr
• Competent in Atlassian products - Jira Software, Confluence
• Proficient in MS Excel, PowerPoint, Word, SharePoint, and Project.