Temporary HRIS Data Validation Analyst

Legence

. Validate employee demographic, employment, organizational, payroll, compensation, and benefits data between systems .

Posted 9/22/2026contractRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in validating and reconciling employee data across HR technology systems, with a strong focus on data quality, analysis, and reporting. Proficient in utilizing advanced Excel functions to support data integrity and stakeholder collaboration.

Highest-signal resume keywords

HRIS ExperienceData AnalyticsAdvanced Microsoft ExcelData Quality MonitoringAttention to Detail

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ValidationData ReconciliationData AnalysisAggregate-Level ComparisonsRecord-Level Comparisons

Soft Skills

Analytical SkillsOrganizational Abilities

Tools & Technologies

DayforceSpectrumSageMicrosoft ExcelPower Query

Industry Keywords

Employee DataHR Technology SystemsPayroll DataCompensation DataBenefits Data

About the role

Key responsibilities & impact

Validate employee demographic, employment, organizational, payroll, compensation, and benefits data between systems
Perform record-level and aggregate-level comparisons to identify discrepancies
Develop and execute reconciliation processes for employee master data
Research and resolve data mismatches, missing records, and data quality issues
Document validation findings and maintain audit trails of discrepancies and resolutions
Monitor ongoing data quality metrics and reporting
Design and maintain validation reports and dashboards
Create exception reports highlighting data inconsistencies
Provide regular status reporting on validation progress, data quality metrics, and remediation efforts
Partner with HR, Payroll, IT, and business stakeholders to maintain data integrity across systems

Requirements

What you’ll need

Bachelor's degree or two (2) years of experience in HR technology systems
2+ years of experience in HRIS or Data Analytics
Advanced Microsoft Excel skills, including Pivot Tables, XLOOKUP, Power Query, data analysis, and reconciliation techniques
Strong analytical skills
Excellent attention to detail and organizational abilities
Experience with Dayforce, Spectrum, or Sage is a plus