Temporary HRIS Data Validation Analyst

🕒 September 22

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

🧐 Analyst

👻 Ghost score 10%

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Logo of Legence

Legence

10,000+ employees

🏗️ Construction

🤝 B2B

⚡ Energy

Construction • B2B • Energy

Legence is a Nasdaq-listed (LGN) provider of engineering, consulting, installation, and maintenance services that improve building performance and reliability for mission‑critical and technically demanding facilities. Founded in 1914 and now a Blackstone portfolio company, Legence delivers MEP engineering and design, program and project management, HVAC and process piping installation/fabrication, and ongoing preventative and corrective maintenance, with a strong emphasis on sustainability, net‑zero building design, and distributed generation. The company serves high-growth sectors including data centers, semiconductors, precision manufacturing, life sciences, healthcare, education, public sector, and commercial real estate, and reports large in-house teams of engineers, consultants, technicians, and craftspeople.

📋 Description

• 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

• 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

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