Job Title: Data Quality (DQ) Analyst Healthcare Data Integration
Experience: 5 8+ Years
Location: Hybrid / Remote
Job Overview
We are seeking a Data Quality (DQ) Analyst with strong experience in healthcare data integration, data validation, and data quality testing. The ideal candidate will validate healthcare data exchanged through APIs, SFTP, and Kafka, perform reconciliation and completeness checks, investigate data discrepancies, and support reliable data delivery across healthcare integration platforms.
The candidate should have strong SQL, data reconciliation, integration testing, healthcare data standards, and root-cause analysis experience, along with exposure to healthcare domains such as Claims, Member, Provider, or Clinical data.
Key Responsibilities
- Validate healthcare data exchanged through APIs, SFTP, and Kafka-based integrations.
- Perform data quality checks, reconciliation, completeness, and accuracy analysis across source and target systems.
- Develop and execute integration, data validation, regression, and UAT test scenarios.
- Analyze data discrepancies and perform root-cause analysis to identify and resolve issues.
- Monitor data pipelines, data quality metrics, and data delivery processes.
- Collaborate with business, engineering, QA, and technical teams to define and validate data quality requirements.
- Support UAT, production validation, and ongoing data quality monitoring.
- Validate healthcare data against defined business and technical requirements.
- Document data quality issues, test results, defects, and validation outcomes.
- Support continuous improvement of data quality and reconciliation processes.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, Healthcare Informatics, or a related discipline.
- 5+ years of experience in Data Quality, Data Validation, Data Testing, or a related role.
- Strong experience working with healthcare data and integration processes.
Mandatory Technical Skills
- Strong SQL
- Data Quality & Data Validation
- Data Reconciliation
- Data Analysis
- Integration Testing
- Regression Testing
- APIs
- SFTP
- Kafka
- Root-Cause Analysis
- Data Quality Frameworks
- Observability & Monitoring
- Data Quality Reporting
Healthcare Domain Skills
Experience working with one or more healthcare data domains:
- Claims
- Member
- Provider
- Clinical Data
Knowledge of FHIR and healthcare data standards is required.
Preferred Qualifications
- Experience with healthcare interoperability and integration solutions.
- Exposure to HL7, EDI, and other healthcare integration standards.
- Experience with cloud-based data platforms.
- Knowledge of automated data validation, reconciliation, and testing tools.
- Experience with automated regression testing approaches.
- Familiarity with cloud-native data pipelines and streaming integrations.
- Experience with observability and monitoring platforms.
- Knowledge of healthcare data governance and data quality management practices.
- Experience working in Agile/Scrum delivery environments.
Key Competencies
- Data Quality & Validation
- Data Reconciliation
- SQL & Data Analysis
- Integration Testing
- Root-Cause Analysis
- Problem Solving
- Healthcare Data & Interoperability
- Stakeholder Collaboration
- Attention to Detail
- Production Validation & Support
Primary Skills
Data Quality, SQL, Data Validation, Data Reconciliation, Integration Testing, Regression Testing, APIs, SFTP, Kafka, FHIR, Healthcare Data, Root-Cause Analysis, Observability, Monitoring, Agile
Good-to-Have Skills
HL7, EDI, Healthcare Data Governance, Automated Data Validation, Automated Reconciliation, Regression Testing, Cloud Data Platforms, Cloud-Native Data Pipelines, Streaming Integrations, Observability Platforms, Healthcare Interoperability