Data Quality Analyst and Tester
New
V
VetsEZHealthcare Data
Fully Remote RoleFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- SQLKubernetesMicrosoft Power BILinuxAzure DevOps
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related technical discipline.
- Experience performing data validation, data-quality analysis, testing, reconciliation, or troubleshooting across large datasets.
- Strong SQL skills, including the ability to create and validate ad hoc queries.
- Experience with automation, monitoring, data mapping, testing, or analytical tools.
- Knowledge of database architecture, data integrity concepts, and security considerations.
- Strong problem-solving skills with the ability to investigate discrepancies, identify patterns, and communicate findings.
- Strong oral and written communication skills.
- Experience with InterSystems IRIS / Caché, VistA, VX130, or VA healthcare data.
- Familiarity with Linux, Kubernetes / containers, Power BI, GitHub / Azure DevOps, and Agile / Scrum environments.
- Experience supporting data migration, cutover validation, or healthcare data reconciliation.
- Experience supporting Department of Veterans Affairs (VA) or other federal healthcare environments.
Responsibilities
- Execute and monitor daily Data Quality (DQ) checks across multiple VA sites and large datasets using DMM / IRIS data-quality tools.
- Investigate data-quality discrepancies, identify root causes, coordinate corrective actions, and drive issues through resolution.
- Validate migration queries, extracts, transformed data, and transmitted data for completeness and correctness.
- Partner with InterSystems IRIS developers, VA staff, Oracle Health, and SMEs to research and resolve migration-data discrepancies.
- Prepare, maintain, and support weekly Data Quality reporting demonstrating results against VA / DMM-defined standards.
- Gather requirements, implement, test, and deploy new or enhanced Data Quality capabilities, checks, queries, and reporting functions.
- Create, validate, and troubleshoot SQL queries and data extracts across multiple clinical and administrative data domains.
- Monitor DQ applications and supporting environments, identify application/server issues, and coordinate resolution.
- Administer DQ application access and maintain accurate documentation of DQ tools, checks, and processes.
- Facilitate recurring Data Quality meetings and communicate status, findings, risks, and resolution plans to stakeholders.
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