Posted: 09/15/2026Employment Type:PermanentIndustry:FinancialJob Number: KB853260911Pay Rate: $75000-95000 / year
Job Description
Payroll and Compensation Analyst | Leading Law FirmDetroit, MI | $75, 000 to $95, 000 | Direct Hire Our Legal Recruiting team is recruiting for a well established law firm seeking a Payroll and Compensation Analyst to join its Detroit team. This direct hire opportunity is ideal for a payroll or financial professional with strong analytical skills who enjoys working with data, compensation, reporting, and financial processes. The Payroll and Compensation Analyst will support payroll and compensation functions for both employee and attorney populations and work closely with Payroll, Tax, Financial Planning & Analysis, Human Resources, Financial Services, and senior leadership. Key Responsibilities
Analyze payroll data for employees and attorney partners to identify trends, variances, and discrepancies
Research and resolve payroll issues and exceptions
Support payroll audits and compliance activities
Assist with payroll budgeting and labor cost forecasting
Partner with FP&A on compensation forecasting and financial planning
Prepare payroll expense reports and variance analyses
Reconcile payroll related general ledger accounts
Review payroll taxes, deductions, garnishments, and benefit accounts for accuracy
Develop and maintain payroll reports and dashboards
Generate recurring and ad hoc reports for senior leadership, Human Resources, and Financial Services
Validate data accuracy and support reporting requests
Provide ADP support and backup assistance for payroll processing
Qualifications
Experience in data organization, collection, and analytics
Strong analytical, reporting, and Excel skills
Knowledge of accounting and reconciliation processes
Ability to manage multiple priorities and meet tight deadlines
Strong attention to detail and communication skills
Prior experience with ADP or another payroll system is a plus
Bachelor degree in Accounting, Finance, Business Administration, Human Resources, Data Science, or a related field preferred
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