Quality Assurance Analyst, Lead

Quality Assurance Analyst, Lead

Arcadia Office
- Arcadia, CA 91007;
Huntington Beach Office
- Huntington Beach, CA 92647

Salary Range $ - $ Salary Position Type Full Time

This position operates on a hybrid work schedule. Candidate must reside in Los Angeles or Orange County.

Are you ready to make a lasting impact and transform the healthcare space? We are one of Southern California's fastest-growing Medicare Advantage plans with an incredible 112% year-over-year membership growth.

Who Are We?

Clever Care was created to meet the unique needs of the diverse communities we serve. Our innovative benefit plans combine Western medicine with holistic Eastern practices, offering benefits that align with our members' culture and values.

Why Join Us?

We're on a mission! Our rapid growth reflects our commitment to making healthcare accessible for underserved communities. At Clever Care, you'll have the opportunity to make a real difference, shape the future of healthcare, and be part of a fast-moving, game-changing organization that celebrates diversity and innovation.

Job Summary

The QA Analyst, Lead is responsible for ensuring the quality, accuracy, completeness, and reliability of enterprise data integrations, data warehouse solutions, and analytics platforms. This role works closely with Data Engineers, Product Managers, Technical Data Analysts, Business Analysts, Database Administrators, and business stakeholders to validate data pipelines, ETL processes, API integrations, reporting datasets, and downstream analytics solutions.

The QA Analyst, Lead leads the planning, design, execution, and testing activities across data integration initiatives. The role is responsible for creating comprehensive test strategies, validating source-to-target mappings, performing data reconciliation, identifying defects, and ensuring enterprise data quality standards are met before deployment to production.

Functions & Job Responsibilities

• Partner with Data Engineering, Business Intelligence, Application Development, Product Management, and business stakeholders to define testing approaches and acceptance criteria.
• Design, develop, and execute comprehensive test plans, test cases, and test scripts for data integration and ETL solutions.
• Create reusable test frameworks and testing standards for data integration projects.
• Validate source-to-target data mappings, transformation rules, business logic, and data quality requirements according to business requirements for internal and external processes.
• Validate incremental loads, full refresh processes, data archival processes, and exception handling.
• Conduct regression testing following application releases, infrastructure upgrades, and data model changes.
• Perform data reconciliation and data validation between source systems, vendor partners, data warehouses, data marts, and reporting platforms.
• Validate batch processing, file transfers, API integrations, and real-time data interfaces.
• Analyze and troubleshoot data discrepancies, defects, and production issues.
• Conduct end-to-end testing across multiple systems and applications to ensure data consistency and integrity, including coordination with external vendor technical teams.
• Identify bottlenecks in large-volume data processing.
• Perform dimensional model validation, fact and dimension testing, and historical data verification.
• Identify opportunities to improve QA processes, increase test coverage, and reduce manual testing effort.
• Participate in CI/CD and release management processes to support efficient deployments.
• Contribute to the development and maintenance of data quality metrics and monitoring capabilities.
• Participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
• Mentor junior QA analysts and contribute to the growth of QA best practices within the Data Services organization.
• Support production validation activities and post-deployment verification.
• Other duties as assigned.

Leadership Expectations

By way of leadership approach, mobilize others to create extraordinary results, and unite people to turn challenges into successes by championing the following:

1. Model…