VetsEZ

Data Quality Analyst Lead

VetsEZ

full-time

Posted on:

Location Type: Remote

Location: Florida • United States

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Job Level

Senior

Tech Stack

AzureETLOracleSQL

About the role

  • Lead the Validation Team supporting Data Syndication activities, including task prioritization, workload distribution, and quality oversight.
  • Serve as the primary point of contact for validation efforts across data integration, mapping, and ingestion workflows.
  • Provide mentorship and guidance to data analysts and quality analysts.
  • Coordinate validation activities across data engineering, integration, and architecture teams.
  • Oversee validation of data ingested from Oracle Health into VA environments, ensuring alignment with source systems and enterprise standards.
  • Ensure validation processes meet defined accuracy thresholds (typically ≥98%) and escalate discrepancies as needed.
  • Lead reconciliation efforts, including source-to-target comparisons, anomaly detection, and defect resolution.
  • Validate ETL/ELT outputs, execution logs, and ingestion results to ensure completeness and accuracy.
  • Support validation across enterprise data integration and syndication workflows, including ingestion, transformation, and storage.
  • Collaborate with stakeholders to verify data integrity and resolve discrepancies across systems.
  • Ensure validation outputs align with enterprise data models and mapped structures.
  • Produce and oversee validation reports for weekly and monthly program reporting.
  • Track data quality metrics, validation outcomes, and trends, providing visibility to leadership.
  • Maintain validation logs and supporting documentation.
  • Refine and standardize validation methodologies, processes, and documentation.
  • Ensure alignment with VA data governance, security, and compliance requirements.
  • Identify opportunities to improve validation efficiency, automation, and accuracy.
  • Partner with VA stakeholders, clinical SMEs, and technical teams to resolve data issues and ensure alignment with business needs.
  • Support validation of data mapping and transformation logic.
  • Contribute to data dictionaries, validation documentation, and data lineage artifacts.
  • Contribute to team objectives and take on additional responsibilities as needed.

Requirements

  • Bachelor’s degree in Data Analytics, Computer Science, Health Informatics, Information Systems, or a related field.
  • 7+ years of experience in data analysis, data quality, or validation in data-intensive environments.
  • 2+ years of experience leading or coordinating technical or data-focused teams.
  • Strong SQL expertise and experience with relational databases (e.g., SQL Server, Oracle, InterSystems IRIS).
  • Experience validating ETL/ELT pipelines and large-scale data integration systems.
  • Proven experience with data validation, reconciliation, and quality assurance in healthcare or enterprise environments.
  • Experience with tools such as Jira, Confluence, or Azure DevOps.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work in a multi-stakeholder, Agile, and data-driven environment.
  • Ability to obtain and maintain a Public Trust clearance.
Benefits
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata analysisdata qualityvalidationETLELTdata integrationdata mappingdata transformationdata reconciliation
Soft Skills
mentorshipguidancecollaborationproblem-solvingcommunicationtask prioritizationworkload distributionquality oversightanalytical skillsleadership
Certifications
Bachelor’s degree in Data AnalyticsBachelor’s degree in Computer ScienceBachelor’s degree in Health InformaticsBachelor’s degree in Information SystemsPublic Trust clearance