Job Requirements
Chantilly, VA
Top Secret/SCI Full Scope Polygraph
Early Career (2+ yrs experience)
Salary not specified
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Job Description
Opportunity via QSSHire | Talent-as-a-Service Recruiting
Role: HR Data Analyst
Location: Chantilly, VA
Clearance: TS/SCI with Full Scope Polygraph
Rate: Open
Are You an HR Data Analyst Ready to Improve Data Quality and Support Successful Enterprise IT Implementations?
Quantum Science Solutions (QSS) is seeking an HR Data Analyst to support an enterprise
IT implementation by assessing, cleansing, mapping, and validating HR data for migration
into a new system.
The HR Data Analyst will collaborate with HR subject-matter experts (SMEs), technical
teams, and project stakeholders to ensure data accuracy, quality, and migration readiness.
This position requires strong analytical and problem-solving skills, experience with data
cleanup and validation, and the ability to support User Acceptance Testing (UAT), reporting,
and documentation throughout the implementation process.
In This Role, You’ll:
• Assess HR data to identify gaps, inconsistencies, quality issues, and required
remediation activities.
• Cleanse, normalize, and validate HR data to meet established project quality
standards.
• Develop and maintain data quality rules, validation checklists, and supporting
documentation.
• Prepare structured data inputs to support system migration cycles.
• Collaborate with HR SMEs and IT teams to validate data transformation logic and
resolve identified data defects.
• Review mock conversion outputs to verify data accuracy, completeness, and
consistency.
• Support User Acceptance Testing (UAT) activities related to data accuracy and
system workflows.
• Develop and maintain trackers and reports summarizing data quality trends,
remediation progress, and validation results.
• Document data reconciliation results, transformation rules, and cleanup processes.
• Collaborate with HR SMEs, project managers, and technical teams to gather
requirements and clarify data-related needs.
• Coordinate across teams to maintain alignment on data quality priorities and
migration readiness.
• Translate business rules and data requirements into structured transformation and
validation activities.
• Identify data quality issues, analyze potential solutions, and support remediation
efforts.
• Maintain accurate documentation and deliver high-quality outputs within
established project timelines.
You’ll Succeed Here If You Have:
• 3–5 years of experience in data analysis, HR systems, or HR operations.
• Demonstrated experience performing data cleanup, validation, or migration
activities.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Experience identifying, assessing, and remediating data quality issues.
• Ability to cleanse, normalize, and validate data against established quality
standards.
• Ability to map data requirements and translate business rules into structured
transformation requirements.
• Ability to prepare structured data inputs and support data migration activities.
• Ability to develop and maintain data quality documentation, validation checklists,
and reconciliation records.
• Strong reporting skills, including the ability to produce data quality metrics,
trackers, and reconciliation documentation.
• Excellent written and verbal communication skills for reporting, documentation,
and stakeholder coordination.
• Ability to collaborate effectively with HR SMEs, technical teams, project managers,
and other stakeholders.
• Ability to work independently, manage deadlines, and deliver accurate, high-quality
outputs with minimal supervision.
Desired Skills:
• Experience supporting HR data migration for Enterprise Resource Planning (ERP) or
Software-as-a-Service (SaaS) systems.
• Experience working with federal HR data structures or personnel systems.
• Experience participating in User Acceptance Testing (UAT) or system testing within
technical or HR environments.
• Proficiency with Microsoft Excel, Power BI, or other data visualization tools.
• Experience with SQL, data transformation, or data quality tools.
• Experience validating data behavior within system workflows.
Desired Certifications:
• Bachelor's degree in Information Systems, Data Analytics, Business Analytics,
Human Resources Management, Business Administration, or a related field.
OR
• 4+ years of equivalent professional experience
Why QSSHire?
As a modern Talent-as-a-Service recruiting partner, QSSHire connects exceptional
professionals with impactful opportunities supporting mission-critical programs. We focus
on aligning specialized expertise with meaningful work while providing transparency,
flexibility, and long-term career growth.
Role: HR Data Analyst
Location: Chantilly, VA
Clearance: TS/SCI with Full Scope Polygraph
Rate: Open
Are You an HR Data Analyst Ready to Improve Data Quality and Support Successful Enterprise IT Implementations?
Quantum Science Solutions (QSS) is seeking an HR Data Analyst to support an enterprise
IT implementation by assessing, cleansing, mapping, and validating HR data for migration
into a new system.
The HR Data Analyst will collaborate with HR subject-matter experts (SMEs), technical
teams, and project stakeholders to ensure data accuracy, quality, and migration readiness.
This position requires strong analytical and problem-solving skills, experience with data
cleanup and validation, and the ability to support User Acceptance Testing (UAT), reporting,
and documentation throughout the implementation process.
In This Role, You’ll:
• Assess HR data to identify gaps, inconsistencies, quality issues, and required
remediation activities.
• Cleanse, normalize, and validate HR data to meet established project quality
standards.
• Develop and maintain data quality rules, validation checklists, and supporting
documentation.
• Prepare structured data inputs to support system migration cycles.
• Collaborate with HR SMEs and IT teams to validate data transformation logic and
resolve identified data defects.
• Review mock conversion outputs to verify data accuracy, completeness, and
consistency.
• Support User Acceptance Testing (UAT) activities related to data accuracy and
system workflows.
• Develop and maintain trackers and reports summarizing data quality trends,
remediation progress, and validation results.
• Document data reconciliation results, transformation rules, and cleanup processes.
• Collaborate with HR SMEs, project managers, and technical teams to gather
requirements and clarify data-related needs.
• Coordinate across teams to maintain alignment on data quality priorities and
migration readiness.
• Translate business rules and data requirements into structured transformation and
validation activities.
• Identify data quality issues, analyze potential solutions, and support remediation
efforts.
• Maintain accurate documentation and deliver high-quality outputs within
established project timelines.
You’ll Succeed Here If You Have:
• 3–5 years of experience in data analysis, HR systems, or HR operations.
• Demonstrated experience performing data cleanup, validation, or migration
activities.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Experience identifying, assessing, and remediating data quality issues.
• Ability to cleanse, normalize, and validate data against established quality
standards.
• Ability to map data requirements and translate business rules into structured
transformation requirements.
• Ability to prepare structured data inputs and support data migration activities.
• Ability to develop and maintain data quality documentation, validation checklists,
and reconciliation records.
• Strong reporting skills, including the ability to produce data quality metrics,
trackers, and reconciliation documentation.
• Excellent written and verbal communication skills for reporting, documentation,
and stakeholder coordination.
• Ability to collaborate effectively with HR SMEs, technical teams, project managers,
and other stakeholders.
• Ability to work independently, manage deadlines, and deliver accurate, high-quality
outputs with minimal supervision.
Desired Skills:
• Experience supporting HR data migration for Enterprise Resource Planning (ERP) or
Software-as-a-Service (SaaS) systems.
• Experience working with federal HR data structures or personnel systems.
• Experience participating in User Acceptance Testing (UAT) or system testing within
technical or HR environments.
• Proficiency with Microsoft Excel, Power BI, or other data visualization tools.
• Experience with SQL, data transformation, or data quality tools.
• Experience validating data behavior within system workflows.
Desired Certifications:
• Bachelor's degree in Information Systems, Data Analytics, Business Analytics,
Human Resources Management, Business Administration, or a related field.
OR
• 4+ years of equivalent professional experience
Why QSSHire?
As a modern Talent-as-a-Service recruiting partner, QSSHire connects exceptional
professionals with impactful opportunities supporting mission-critical programs. We focus
on aligning specialized expertise with meaningful work while providing transparency,
flexibility, and long-term career growth.
group id: 91142086
