Senior Quality Analyst

Design and develop QA strategy for Enterprise Data Platform. Collaborate with cross-functional teams to understand data requirements, identify opportunities, and propose efficient data quality solutions. Implement data governance and quality control measures to ensure data accuracy, consistency, and integrity throughout the data lifecycle. Lead the evaluation, selection, and implementation of data quality tools, and frameworks. Mentor and provide guidance to junior Quality Analysts, assisting in their professional development. Ensure High Quality of Data for Enterprise Subject Areas. Support The QA Activities in Liaison with Other It Partners and Business. Automation For the Regression Testing. Reviews Requirements and Specifications to Provide Timely and Meaningful Feedback. Creates Detailed, Comprehensive and Well-Structured Test Plans and Test Cases. Estimates, Prioritizes, Plans and Coordinates Testing Activities. Executes Test Cases And/or Automation Scripts and Identifies and Documents Defects Thoroughly. Applies Test Standards and Testing Processes (I.E. SDLC, Agile). Collaborates With Internal Teams (I.E. Developers, Product Managers, Administrators) To Identify New Requirements to Improve Quality. Investigates The Causes of Routine Defects and Implement New Processes And/or Solutions (I.E. Software Upgrade). Installs, Configures and Maintains Testing Programs. Analyzes Quality Assurance Metrics and Creates Test Summary Reports. Creates Reports and Analyzes Data to Identify Solutions That Meet Business Goals. Analyzes Current Processes and Identifies Existing or Potential Problems in Order to Discover New Process Improvement Opportunities. Telecommuting permissible from anywhere in the US.

Requirements: Master’s degree or foreign degree equivalent in Computer Applications or related field and two (2) years of experience in computer science, computer information systems or related role or in the job offered.

Experience and/or education must include:

1. Leveraging tools like Selenium, github, testrail, QTP, and Postman for both manual and automated testing of data integration and dataset processes.

2. SQL to develop complex business logic for validating data across multiple layers.

3. Data warehouse concepts and skilled in performing manual data validation within the healthcare domain.

4. Developing automated testing processes using Python, Java, or javascript for data validation and testing.

5. Different development methodologies, including Agile, Scrum, and Waterfall.

6. Automated testing frameworks such as Selenium, Cypress, or Appium, and expertise in test scripting.

7. Manual testing methods, including functional, regression, integration, system, and user acceptance testing for data platforms.

8. Write SQL queries to validate data and conduct comprehensive testing of data platforms.

9. Testing ETL (Extract, Transform, and Load) pipelines and workflows.

10. Performing data validations for dimensional models on snowflake.

11. Testing apis using tools like Postman or REST Assured.

12. Performance testing tools such as jmeter or loadrunner.

13. Utilizing version control tools like Git, Maven, or SVN.

14. Bug tracking and reporting tools such as JIRA, Bugzilla, or Mantis

15. Creating reports, dashboards, and scorecards for defect tracking.

TO APPLY: Apply directly online at https://ejep.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/2766/?utm_medium=jobshare&utm_source=External+Job+Share