Payroll Administrator Job at Robert Half (Plaistow)

Payroll Administrator

Robert Half

Location:
United States , Plaistow

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are looking for a Payroll Administrator to oversee accurate weekly payroll operations for a workforce of more than 300 employees in Plaistow, New Hampshire. This role is well suited to someone with construction industry experience who can manage detailed payroll data, maintain compliance across multiple pay elements, and produce timely reporting for leadership. The ideal candidate will be comfortable working with Sage 300 while ensuring payroll records, accruals, and certified reporting are handled with precision.

Job Responsibility:

Administer end-to-end weekly payroll processing for 300+ employees, ensuring earnings, deductions, reimbursements, and adjustments are completed accurately and on schedule
Review timekeeping records and payroll inputs to verify completeness, resolve discrepancies, and support compliance with applicable federal and state payroll regulations
Maintain employee accrual balances and related payroll records with a high degree of accuracy and consistency
Prepare recurring payroll summaries, analysis, and supporting reports for leadership to aid operational and financial review
Produce and submit certified payroll documentation each week for multiple active construction projects
Use Sage 300 and Procore to manage payroll activities, organize supporting data, and maintain reliable records for audit and reporting needs.

Requirements:

At least 2 years of payroll administration experience, including full-cycle payroll processing
Experience handling payroll for employee populations ranging from 101 to 500 or more
Knowledge of multi-state payroll practices and wage and hour compliance requirements
Previous payroll experience within the construction industry
Hands-on proficiency with Sage 300 and Procore
Strong attention to detail with the ability to analyze payroll data and identify discrepancies before processing.

What we offer: