Payroll Optimization Analyst (Hybrid)

Intel Corporation

Phoenix (AZ)

Hybrid

USD 52,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Stock bonuses
Health benefits
Vacation

Job summary

Intel Corporation in the United States is seeking a Payroll Business Analyst to ensure accurate, compliant payroll operations while analyzing data, resolving discrepancies, and supporting system testing. You will partner with Payroll, HR, Accounting, and IT to drive process improvements and maintain audit readiness.

The role requires strong analytical skills, in-depth payroll knowledge, and the ability to manage multiple priorities with minimal supervision in a hybrid work model.

Qualifications

  • Bachelor’s degree or equivalent 4+ years in US Payroll
  • 4+ years of US Payroll and Payroll Accounting
  • Strong payroll process knowledge and compliance
  • Advanced Excel and data analysis skills
  • Experience with payroll automation and system implementations

Responsibilities

  • Identify opportunities to streamline payroll processes.
  • Collaborate with cross-functional teams to implement improvements.
  • Analyze payroll data, compensation, and transactions for accuracy.
  • Support system testing with detailed test plans and results.
  • Communicate risks and progress to stakeholders.
  • Prepare documentation for audits and reporting.

Skills

Advanced Excel
Payroll processing
Data analysis
Process improvement
Cross-functional collaboration

Education

Bachelor’s degree in business/Accounting/Finance/HRIS or related

Tools

Workday
ADP payroll
Payroll systems

Job description

Intel Corporation in the United States is seeking a Payroll Business Analyst to ensure accurate, compliant payroll operations while analyzing data, resolving discrepancies, and supporting system testing. You will partner with Payroll, HR, Accounting, and IT to drive process improvements and maintain audit readiness.

The role requires strong analytical skills, in-depth payroll knowledge, and the ability to manage multiple priorities with minimal supervision in a hybrid work model.

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