Vizient is looking to ensure the accuracy, integrity, and reliability of its data-driven products and insights by validating functional software components and the analytical outputs they generate, ensuring that business intelligence dashboards, predictive models, and data pipelines meet quality standards and deliver trustworthy insights.
Requirements
- Proficiency in SQL/PL-SQL, writing complex queries, joins, and aggregations used in validating analytical outputs.
- Experience with QA automation frameworks (Selenium, or similar) and Python for scripting, data validation, and automation.
- Familiarity with Artificial Intelligence / Machine Learning (AI/ML) tools and methodologies is a plus
- Exposure to BI/analytics tools such as Tableau, Power BI, or similar preferred.
- Familiarity with validating data pipelines in cloud-based environments, Azure is preferred.
- Knowledge of Agile methodologies such as Scrum and Kanban.
- Understanding of statistical concepts, data modeling basics, their impact analytical outputs is a plus.
Responsibilities
- Analyze requirements, data flows, and design specifications to create comprehensive test strategies that emphasize analytical accuracy and data validation.
- Design, execute, and maintain test plans that cover data quality, transformation logic, aggregation rules, and business logic validation in addition to functional and regression testing.
- Develop and maintain automated test scripts for data validation and analytical pipelines using tools such as Selenium, or Python-based frameworks.
- Validate Extract, Transform, Load (ETL) processes, reporting layers, and dashboards; ensuring consistency of Key Performance Indicators (KPIs), metrics, and visualizations with underlying data sources.
- Write complex SQL/PL-SQL queries to validate data integrity, and ensure analytical outputs are aligned with business requirements.
- Partner with data engineers and business intelligence developers to verify model accuracy, statistical outputs, and integration of analytical components.
- Support validation of AI/ML models by testing input/output integrity and ensuring model-driven insights are aligned with business logic.
Other
- 2 or more years of experience in QA with a strong focus on data testing, analytics validation, and Business Intelligence/Extract, Transform, Load (BI/ETL) systems.
- Strong problem-solving and analytical skills, an ability to identify subtle inconsistencies in complex data.
- Excellent communication skills, with experience presenting QA findings to both technical and business stakeholders.
- Relevant degree preferred. Degree in Computer Science, Data Analytics, or related field preferred.
