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Data Analysis/Quality Assurance Specialist

NRI, Inc.
remote work
United States, D.C., Washington
1900 L Street Northwest (Show on map)
Oct 03, 2026

We're looking for a detail-oriented Data Analysis & Quality Assurance Specialist to support a high-volume data processing and quality management operation. This role will focus on analyzing, validating, and maintaining data integrity across records and systems. The ideal candidate is analytical, highly detail-oriented, and comfortable identifying trends, discrepancies, and data quality issues while working with sensitive information. Must be a DC resident.

Responsibilities

  • Analyze and review large volumes of data to identify errors, inconsistencies, missing information, and data quality issues.
  • Validate data against source documentation and established quality standards to ensure accuracy, completeness, and consistency.
  • Identify patterns, trends, and recurring data discrepancies and escalate findings to the appropriate team members.
  • Perform quality control checks and data validation across multiple records, databases, and systems.
  • Investigate discrepancies and determine appropriate corrections based on established procedures and available source information.
  • Maintain accurate and organized electronic records and ensure data remains current and reliable.
  • Review required fields, documentation, and data elements for completeness prior to submission or approval.
  • Track and document data errors, corrections, quality issues, and recurring discrepancies.
  • Analyze quality control results to identify potential process gaps, system issues, or opportunities for improvement.
  • Support reporting and tracking of data quality metrics, productivity, accuracy, and turnaround expectations.
  • Use established procedures and analytical judgment to resolve data inconsistencies and determine when issues require escalation.
  • Publish and approve completed documentation once data has been reviewed and validated.
  • Maintain accurate tracking and documentation throughout the data review process.
  • Communicate recurring data issues, system problems, and process discrepancies to appropriate stakeholders.
  • Handle sensitive and confidential information with discretion and maintain strict adherence to privacy and security requirements.
  • Follow all organizational and client policies related to data security, confidentiality, and protected information.
  • Maintain a secure and professional remote work environment.
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