Job Information
Robert Half QA Tester in Nashville, Tennessee
Description
Job Summary:
We are seeking a meticulous Data Analytics Quality Assurance Tester to join our team. The ideal candidate will ensure the accuracy, reliability, and functionality of our data analytics solutions through rigorous testing and analysis. This role involves developing and executing comprehensive test plans, identifying and resolving defects, and collaborating with data analysts and developers to maintain data integrity and quality.
Key Responsibilities:
Test Planning and Execution:
Develop and execute detailed test plans and test cases.
Conduct thorough testing of data pipelines, algorithms, models, and visualizations.
Defect Tracking and Resolution:
Identify, document, and prioritize defects.
Collaborate with development teams to resolve issues promptly.
Data Validation and Verification:
Validate data transformations and calculations to ensure data integrity.
Verify data consistency across systems.
Test Automation:
- Utilize automated testing tools and scripts to streamline testing processes.
Reporting and Monitoring:
- Monitor testing progress and report on metrics like test coverage and defect rates.
Agile and Scrum Participation:
- Contribute to Agile or Scrum meetings, providing testing insights and resource estimates.
Continuous Learning:
Stay updated on industry best practices, emerging technologies, and data analytics quality assurance trends.
Requirements
Qualifications:
Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Experience: Proven experience as a Quality Assurance Tester or similar role with a focus on data analytics or business intelligence.
Technical Skills:
Strong understanding of data analysis concepts, methodologies, and tools.
Proficiency in SQL for data querying and manipulation.
Familiarity with data visualization tools like Tableau, Power BI, or Looker.
Soft Skills:
Excellent analytical and problem-solving skills.
Strong attention to detail.
Effective communication and collaboration skills.
Ability to prioritize tasks and meet deadlines in a fast-paced environment.
Preferred Qualifications:
Advanced Technical Skills:
Experience with big data technologies (Hadoop, Spark, Kafka).
Proficiency in scripting languages (Python, R, Java).
Experience with testing frameworks (Selenium, JUnit, PyTest).
Knowledge of machine learning algorithms and techniques.
Experience with data governance and compliance standards.
Certifications: ISTQB or Certified Analytics Professional certification (preferred).
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