Hybrid Time & Attendance & Payroll Analyst

Merck & Co.; Rahway (NJ); Hybrid; USD 79,000 - 125,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive

Hybrid work arrangement

Job summary

Merck & Co. in Rahway, NJ is seeking a Time & Attendance (T&A) Analyst to ensure accurate, timely payroll processing and SOX/compliance across US and Puerto Rico non-exempt employees.

The role partners with HRBPs, IT, Legal, Total Rewards and vendors and reports to the HR Operations Associate Director-US PR Payroll Support and Global Supplier Manager. The ideal candidate blends payroll and T&A expertise with strong customer service and process-improvement skills, leading data validation, issue

Qualifications

• Minimum of 3 years of payroll, time & attendance, or HRIS support experience.
• Audit and controls: experience with payroll audits, SOX controls, or internal control frameworks.
• Experience with payroll and HRIS systems (e.g., ADP/EV6, E-Time Workday, UKG, ServiceNow).
• MS Excel (pivot tables, VLOOKUP/XLOOKUP, basic formulas).
• Knowledge of payroll/t&a concepts including wage calculations, overtime rules, deductions.

Responsibilities

• Execute end-to-end time & attendance and payroll validation activities on a biweekly payroll cycle.
• Validate and reconcile time, payroll, and HRIS data; investigate discrepancies and resolve with HR, managers, employees, and ADP.

Skills

Payroll processing

T&A concepts

MS Excel

Communication

Root-cause analysis

Data validation

Education

Bachelor's Degree

Tools

ADP/EV6

E-Time Workday

UKG

ServiceNow

Job description

Merck & Co. in Rahway, NJ is seeking a Time & Attendance (T&A) Analyst to ensure accurate, timely payroll processing and SOX/compliance across US and Puerto Rico non-exempt employees.

The role partners with HRBPs, IT, Legal, Total Rewards and vendors and reports to the HR Operations Associate Director-US PR Payroll Support and Global Supplier Manager. The ideal candidate blends payroll and T&A expertise with strong customer service and process-improvement skills, leading data validation, issue