Payroll Systems Analyst - Workday & SAP

ANISH MATHEW

Payroll Systems Analyst

Jersey City, New Jersey, USA Email:*****.********@*****.*** Phone: 551-***-**** SUMMARY

Payroll Analyst with 4+ years of experience supporting enterprise payroll operations, Workday HCM migrations, payroll accounting, workforce analytics and regulatory compliance across U.S. and India environments. Proven success improving payroll accuracy, reducing validation and reporting effort, and strengthening controls across gross-to-net processing, Time & Attendance, multi-state payroll, tax reconciliation, and month-end close. Experienced in SAP HCM-to-Workday migration, including data conversion, source-to-target reconciliation, parallel payroll testing, UAT, defect management, cutover, and post-go-live support. Strong background partnering with HR, Finance, Accounting, Tax, and IT teams to resolve payroll exceptions, maintain audit-ready records, and deliver accurate and timely payroll services.

TECHNICAL SKILLS

Payroll, HRIS & HCM Systems Workday HCM, Workday Time Tracking, Workday Reporting, Workday Business Processes, ADP GlobalView, ADP Workforce Now, SAP HCM, HRIS, Employee Master Data Payroll Processing & Operations End-to-End Payroll Processing, Gross-to-Net, Payroll Cycle Management, Pre/Post-Payroll Audits, Payroll Calendar, Time & Attendance, Overtime, PTO, Retro Pay, Off-Cycle Payroll, Bonuses, Incentives, Reimbursements, Garnishments, Direct Deposit, Payroll Funding, Full & Final Settlement Workday Migration & Integrations SAP HCM-to-Workday Migration, Data Conversion, Data Mapping, Source-to-Target Mapping, Data Cleansing, Data Validation, Payroll Interfaces, Inbound/Outbound Interfaces, Workday Integrations, EIB, Integration Validation

Testing & Production Support UAT, SIT, End-to-End Testing, Integration Testing, Regression Testing, Parallel Payroll Testing, Test Cases, Test Scripts, Defect Tracking, Defect Resolution, Cutover, Go-Live, Hypercare, Production Support, Incident Management, Root Cause Analysis

Payroll Accounting & Controls Payroll Reconciliation, General Ledger (GL) Reconciliation, Journal Entries, Payroll Accruals, Variance Analysis, Month-End Close, Payroll Controls, Exception Management, Audit Support, SOX Controls U.S. Payroll & Compliance Multi-State Payroll, Federal/State/Local Taxes, FICA, Social Security, Medicare, Forms 941, W-2, W-4, Wage Garnishments, Year-End Payroll Processing

India Payroll & Compliance TDS, Provident Fund (PF), Employee State Insurance (ESI), Professional Tax (PT), Labor Welfare Fund

(LWF), Investment-Proof Validation, Form 16, Statutory Reconciliation Reporting, Data & Analytics Advanced Excel, Power Query, PivotTables, XLOOKUP/VLOOKUP, SQL, Python, Power BI, Payroll Reporting, Workforce Analytics, Headcount Analysis, Labor Cost Analysis, KPI Reporting, Exception Reporting, Data Reconciliation, Data Quality

Business & Delivery Requirements Gathering, Process Improvement, Change Management, SOP Documentation, Stakeholder Management, HR/Finance Collaboration, Issue Resolution, Data Confidentiality PROFESSIONAL EXPERIENCE

Payroll Systems Analyst Wells Fargo, USA Apr 2025 – Present

● Addressed payroll discrepancies by auditing Workday Time Tracking records for regular hours, overtime, PTO, bonuses, incentives, and deductions against ADP Workforce Now and ADP GlobalView, improving payroll input accuracy by 18%.

● Reduced gross-to-net errors by reviewing federal, state, and local taxes, Social Security, Medicare, benefits, garnishments, and deductions, resolving discrepancies before payroll finalization and decreasing post-payroll corrections by 20%.

● Automated timekeeping and payroll data-quality controls using Advanced Excel, SQL, and Python to detect missing punches, duplicate records, unapproved timecards, and data inconsistencies, shortening validation time by 30%.

● Conducted User Acceptance Testing (UAT) for payroll, Workday Time Tracking, ADP integrations, and system enhancements, developing test scenarios, validating expected results, documenting defects, and coordinating issue resolution before production releases.

● Enhanced workforce cost visibility by developing Power BI dashboards tracking payroll expense, headcount, overtime, PTO, labor hours, tax liabilities, and adjustment trends, reducing manual reporting effort by 25%.

● Maintained 98% month-end reporting accuracy by balancing payroll registers with bank funding, departmental labor costs, and General Ledger (GL) accounts and investigating variances before financial close.

● Strengthened multi-state payroll tax compliance by reconciling federal, state, and local liabilities and supporting quarterly and year-end activities involving Forms 941, W-2, and W-4.

● Supported payroll accounting, month-end close and audit activities through journal-entry reviews, variance analysis, account reconciliations, and audit-ready documentation while strengthening controls around payroll cutoffs and sensitive employee data. Payroll Analyst EY, India Jan 2021 – Dec 2023

● Supported enterprise migration from SAP HCM to Workday HCM, analyzing legacy employee, compensation, payroll, tax, and organizational data and defining transformation requirements across multiple business units.

● Improved migration quality through data mapping, cleansing, conversion, validation, and reconciliation of employee master records, banking information, compensation, benefits, tax elections, and organizational assignments.

● Validated Workday Time Tracking configurations and migrated attendance, leave, overtime, loss-of-pay, and work-schedule data against legacy SAP records to ensure accurate downstream payroll calculations.

● Executed parallel payroll testing between SAP HCM and Workday, comparing gross pay, net pay, earnings, deductions, and statutory calculations and resolving variances before production conversion.

● Led User Acceptance Testing (UAT) by developing test scenarios, test cases, and expected results for hires, terminations, compensation changes, time tracking, arrears, reimbursements, tax adjustments, and Full & Final settlements, tracking defects through resolution and supporting go-live sign-off.

● Verified Indian statutory requirements covering TDS, Provident Fund (PF), Employee State Insurance (ESI), Professional Tax (PT), Labor Welfare Fund (LWF), and Form 16, maintaining compliance throughout the migration.

● Accelerated source-to-target reconciliation using Advanced Excel, Power Query, and SQL to identify missing and mismatched records, reducing manual review effort by 30%.

● Strengthened post-go-live stability by reconciling migrated payroll data, resolving payroll issues, documenting SOPs and validation controls, and reducing recurring data-quality errors by 15%. EDUCATION

● Master of Science in Data Science

Pace University, Seidenberg School of Computer Science and Information Systems New York, NY Dec 2025

● Bachelor of Technology in Computer Engineering

St. Vincent Pallotti College of Engineering and Management Nagpur, Maharashtra, India Jun 2022

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