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Data Quality Analyst (Remote Opportunity)

Veterans EZ Info Inc

Tampa (FL)

Remote

USD 60,000 - 95,000

Full time

23 days ago

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Job summary

An established industry player is looking for a Data Quality Analyst & Tester to enhance the accuracy of vital datasets in veterans' healthcare modernization. This role involves executing daily data quality checks, resolving discrepancies, and collaborating with developers to implement new capabilities. The ideal candidate will have a strong background in SQL, problem-solving skills, and experience with data migration tools. Enjoy a remote opportunity with excellent benefits, including medical coverage and a 401k plan with employer match. Join a mission-driven team committed to improving veterans' services!

Benefits

Medical/Dental/Vision
401k with Employer Match
PTO + Federal Holidays
Corporate Laptop
Training opportunities

Qualifications

  • Bachelor’s degree in a technical field required.
  • Proficiency in SQL and experience with automation tools preferred.

Responsibilities

  • Execute daily Data Quality checks using IRIS DQ tools.
  • Investigate and resolve Data Quality discrepancies.

Skills

Problem-solving skills
Troubleshooting skills
SQL proficiency
Communication skills

Education

Bachelor’s degree in Computer Science
Bachelor’s degree in Electronics Engineering

Tools

IRIS DQ tools
Power BI
GitHub
Linux
Mirantis Kubernetes

Job description

VetsEZ is seeking a Data Quality Analyst & Tester to join our team supporting the Data Migration & Syndication efforts within the Electronic Health Record Modernization Integration Office (EHRM-IO) for the Department of Veterans Affairs. This role is critical in ensuring the accuracy and integrity of vast datasets that are crucial to modernizing veterans’ healthcare.

The candidate must reside within the continental US.

Responsibilities:
  • Execute and monitor daily Data Quality (DQ) checks using IRIS DQ tools for multiple sites and extensive datasets.
  • Investigate and resolve Data Quality discrepancies and collaborate with IRIS Developers on findings and updates.
  • Gather requirements, implement, test, and deploy new Data Quality capabilities.
  • Monitor and maintain DQ container environments and manage DQ server issues.
  • Oversee DQ applications and manage user access and permissions.
  • Compile, update, and distribute various reports, including Data Quality Progress and VX130 Historical Pull Status reports.
  • Facilitate weekly Data Quality meetings and document DQ tools and processes.
  • Enhance, test, and execute data extract programs across various data domains and troubleshoot issues with migrated data.
  • Create and validate ad-hoc SQL queries and review monthly progress reports for accuracy.
Requirements:
  • Bachelor’s degree in Computer Science, Electronics Engineering, or related technical field.
  • Experience with automation, monitoring, design, or data mapping tools.
  • Proficiency in writing SQL queries.
  • Strong problem-solving and troubleshooting skills.
  • Knowledge of database architecture, administration, and security for both on-premise and cloud-hosted systems.
  • Strong communication skills with the ability to lead technical discussions and present information clearly to meet customer needs.
Additional Qualifications:
  • Experience with the VA or other federal organizations.
  • Familiarity with Data Migration and Syndication within the VA.
  • Familiarity with InterSystems products, Mirantis Kubernetes container platform, Power BI, GitHub, Linux, and Scrum methodology.
  • Experience with DQ applications such as DQ Tool, Event Tracker, DMM Ticketing, and Journal Search tool.
  • Ability to obtain a Government clearance.
Benefits:
  • Medical/Dental/Vision
  • 401k with Employer Match
  • PTO + Federal Holidays
  • Corporate Laptop
  • Training opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

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