Payroll Tax Analyst

2439353_Payroll Tax Analyst

At Cummins, we believe your passion is your power. Supercharge your career with the support of a global team that empowers you to do your best work.

We are looking for a talented Payroll Tax Analyst to join our Payroll team for Cummins Services - HR Operations at Cummins Comercializadora in San Luis Potosí, SLP, Mexico.

Work Modality: Hybrid, 3 days on site, 2 days home office.

• Ensure federal, state, and local payroll taxes are accurately calculated, deposited, and filed on time for assigned jurisdiction.
• Balance and reconcile payroll tax data against general ledger accounts on a weekly, monthly, and quarterly basis.
• Investigate and resolve agency notices, inquiries, and discrepancies in coordination with third-party administrators.
• Audit and maintain tax configurations within ADP GlobalView/SAP to ensure accurate jurisdiction setup.
• Perform annual W-2 processing, validation, and W-2c corrections in accordance with IRS regulations.
• Assist employees with complex payroll tax queries, retroactive calculations, and gross-to-net tax adjustments.
• Monitor changes in tax laws and document requirements for adjustments to the payroll processing system.

• 3 to 5 years of dedicated US or CA payroll tax or full-cycle payroll experience.
• Advanced proficiency in Microsoft Excel (VLOOKUP, PivotTables).
• Strong working knowledge of major HRIS/Payroll systems (e.g., SAP) and third-party tax applications (e.g., ADP SmartCompliance).
• Deep understanding of US/CA multi-state/province tax regulations, reciprocal agreements, and tax reciprocity rules.
• High degree of accuracy, strong organizational skills, excellent problem-solving, and the ability to maintain strict data confidentiality.
• Advanced English Level

• French Canadian language level is a plus.

• Financial Regulations Acumen
• Tax Based Modeling and Computation
• Technical Tax Analysis
• Action oriented
• Being resilient
• Communicate effectively
• Demonstrates self-awareness
• Ensures accountability
• Nimble learning
• Values differences