QA Analyst 1-ProdDev

Role Overview: You will be a part of the IND team responsible for thoroughly reviewing data on critical data issues such as Consistency, Continuity, Completeness, Validity, and Referential Integrity during client data onboarding, implementation, and technical upgrades. Your role involves periodic data checks for anomalies even post client activation and comparison of data across multiple subject areas. Key Responsibilities: - Serve as a subject matter expert in data onboarding and standardization within the Health Data Intelligence team. - Ensure accuracy, completeness, and integrity of healthcare data throughout onboarding, implementation, and ongoing processes. - Conduct technical investigations, identify root causes of data issues, and resolve problems within the team's scope. - Collaborate with external teams for timely issue resolution and work directly with clients submitting Service Requests. - Review data for critical quality factors like Consistency, Continuity, Completeness, Validity, and Referential Integrity during client onboarding, implementation, and technical upgrades. - Perform ongoing data quality checks post client activation to maintain data accuracy across multiple subject areas. - Analyze and troubleshoot data inconsistencies, missing values, and errors to uphold data integrity. - Document validation processes, issue resolutions, and system improvements for transparency and process enhancement. - Ensure compliance with HIPAA and other healthcare data standards. - Automate validation processes where possible to enhance efficiency and reduce manual efforts. - Apply basic engineering principles to develop methods and procedures for improving and maintaining product quality standards as a member of the technical/process QA division. Qualifications Required: - Prior experience in data analysis, data quality assurance, or a related field. - Knowledge of healthcare data standards and compliance requirements, including HIPAA. - Strong analytical skills with the ability to identify and resolve data issues effectively. - Experience in collaborating with external teams and clients for issue resolution. - Familiarity with automating validation processes for efficiency gains. - Basic engineering principles application for product quality improvement. Note: The job description does not include any additional details about the company.,