Overview
Hybrid3 Days Onsite
$120,000 - $135,000
Full Time
Skills
Data Testing
Data Quality
SQl queries
data governance
data analysis
Job Details
***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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.