Data Quality Analyst

Job Title: Data Analytics Quality Analyst– Connected Technologies Platform
Skilled in all data testing phases, including automation, with expertise in Java and Selenium automation. Familiarity with additional tools and technologies is highly desirable.
**What you will be doing: **
1. Create, execute, and maintain tests/cycles/plans across DB/API/Authorization for integrations, end-to-end, regression, functional, smoke, and other test types.
2. Develop and maintain automation tools, data, infrastructure, and frameworks to support testing efforts.
3. Collaborate closely with product stakeholders and developers to ensure comprehensive test case coverage for all requirements.
4. Define and drive quality assurance best practices within the QA team.
5. Leverage experience working with automotive data sets (preferred).
6. Apply SDET skill sets, including reviewing and contributing to integration tests.
7. Utilize expertise in creating and querying data using relational and NoSQL databases.
**What you bring: **
1. Experience with integrating automated tests and reporting in a CI/CD pipeline.
2. Proficiency with AWS services such as Code Deploy, S3, Elastic Search, Athena, Lambdas, CloudWatch, EC2, boto, and aws CLI.
3. Extensive experience creating and maintaining automated tests using Python 3.x and Pytest, employing appropriate test framework design patterns (decorators, markers, fixtures, data classes/structures, reporting, code coverage analysis).
4. Experience testing backend systems via RESTful APIs.
5. Develop and maintain automated and manual tests using Selenium, Python 3, and Zephyr.
6. Promote a culture of continuous testing within the team.
7. Experience testing data platforms using Selenium/POM frameworks, preferably with applications using Pyramid, React, Redux.
8. Strong collaboration skills, working closely with cross-functional teams, product stakeholders, and developers.
9. Familiarity with specific databases such as MySQL, PostgreSQL, MongoDB, etc., for creating and querying data.
10. Awareness of industry compliance standards or regulations related to data analytics.
11. Demonstrate desirable soft skills, including effective communication, problem-solving, and adaptability.