HR Data Analyst

VTG•Chantilly, VA

About The Position

The HR Data Analyst supports a large-scale enterprise IT implementation by analyzing, cleansing, mapping, validating, and preparing HR data for migration. The role ensures that data is accurate, complete, consistent, and appropriately structured for transfer into a new enterprise system. The analyst works with HR subject-matter experts, IT teams, project managers, and other stakeholders to resolve data issues and meet business requirements. The position also supports user acceptance testing, data reconciliation, reporting, and documentation. It includes reviewing mock conversion outputs, validating migration results, tracking defects and remediation, and communicating data quality findings, risks, and recommendations throughout the implementation lifecycle.

Requirements

Active TS/SCI with Polygraph.
Bachelor's degree in Information Systems, Business Administration, Human Resources, Data Analytics, or a related field, or 4+ years of equivalent professional experience.
3–5 years of experience in data analysis, HR systems, HR operations, or a related discipline.
Demonstrated experience with data cleansing, validation, reconciliation, or migration activities.
Strong understanding of data quality management, data mapping, and transformation processes.
Experience identifying and resolving data inconsistencies, discrepancies, and quality issues.
Ability to analyze complex datasets and translate business requirements into actionable data solutions.
Strong analytical, organizational, and problem-solving skills, with exceptional attention to detail.
Excellent written and verbal communication skills, including experience preparing technical documentation and reports.
Ability to collaborate effectively with HR SMEs, technical teams, and project stakeholders.
Ability to work independently, manage competing priorities, and meet project deadlines.

Responsibilities

Analyze HR datasets to identify data gaps, inconsistencies, duplicates, and other quality issues.
Perform data cleansing, normalization, and validation to improve data accuracy, completeness, and consistency.
Develop and maintain data quality standards, business rules, validation checklists, and supporting documentation.
Identify data discrepancies and recommend corrective actions to improve data integrity.
Monitor data quality trends and track remediation efforts during the implementation lifecycle.
Support HR data mapping, transformation, and migration activities for a new enterprise IT system.
Prepare, organize, and validate structured data inputs for migration and conversion cycles.
Collaborate with HR SMEs and technical teams to define data requirements, validate transformation logic, and resolve migration issues.
Review mock conversion outputs for accuracy, completeness, and alignment with business requirements.
Reconcile data between legacy and target systems and identify and resolve discrepancies.
Troubleshoot data migration defects and support corrective actions.
Support UAT activities to validate HR data accuracy and system functionality.
Develop and execute data validation scenarios based on business requirements and expected system behavior.
Identify, document, and track data-related defects found during testing.
Collaborate with functional and technical teams to resolve issues and verify corrections.
Ensure migrated data meets established quality standards and business requirements before implementation.
Develop and maintain data quality reports, issue trackers, reconciliation summaries, and project status documentation.
Document data mapping rules, transformation requirements, validation procedures, and cleanup processes.
Prepare reports on data quality trends, outstanding issues, and remediation progress.
Communicate findings, risks, and recommendations to project managers and stakeholders.
Maintain documentation supporting project transparency, auditability, and knowledge transfer.