Senior Labor Cost Analyst — Hybrid, Multi-Entity Forecasts

Go Fractional; Miami (FL); Hybrid; USD 95,000 - 135,000; Full time

Job summary

Go Fractional in the Miami, FL area is seeking a Senior Labor Cost Analyst to run labor cost allocations across departments, cost centers, projects, entities, and funding sources.

You will reconcile allocations to payroll and GL, deliver month-end journals, and build reports with Excel/Sheets and SQL. Collaborate with FP&A on forecasting and budgeting while maintaining data quality and controls.

Qualifications

• 7+ years in data, financial, payroll/HR analytics, or accounting roles.
• Bachelor's degree in Finance, Accounting, Analytics, Economics, or related field.
• Advanced Excel or Google Sheets and working SQL; comfortable with large datasets.
• Strong reconciliation track record across multiple systems.
• Ability to explain methodology clearly to non-technical stakeholders.
• Discretion with confidential compensation data.

Responsibilities

• Run monthly, quarterly, and year-end labor cost allocations across departments, cost centers, projects, entities, and funding sources.
• Allocate fully loaded labor costs (salary, bonus, benefits, taxes, equity), and document drivers.
• Reconcile allocations to payroll, GL, and HRIS; resolve variances.
• Deliver allocation journals and schedules for month-end close; support audits and compliance.
• Build labor cost and headcount reports and dashboards; partner with FP&A on forecasting.
• Maintain clean employee data via HRIS and payroll systems; uphold controls.

Education

Bachelor's degree in Finance, Accounting, Analytics, Economics, or related field

Tools

Excel

SQL

HRIS/Payroll systems

Job description

Go Fractional in the Miami, FL area is seeking a Senior Labor Cost Analyst to run labor cost allocations across departments, cost centers, projects, entities, and funding sources.

You will reconcile allocations to payroll and GL, deliver month-end journals, and build reports with Excel/Sheets and SQL. Collaborate with FP&A on forecasting and budgeting while maintaining data quality and controls.