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Meta is seeking a Payroll Analyst to support payroll operations across the EMEA region. In this role, you will be responsible for the accurate and timely processing of multi-country payroll, ensuring compliance with local statutory requirements, tax regulations, and labor laws across diverse EMEA jurisdictions. You will partner closely with HR, Finance, and external payroll vendors to deliver a seamless payroll experience for employees across the region, while contributing to process improvements that support Meta's growing global workforce.
Job Responsibility
Collaborate with the outsourced payroll support team and outsourced payroll processors to manage payroll for entities across EMEA, including France, Switzerland, Poland, Italy, Sweden, Netherlands, Germany, Greece, Czech Republic, Belgium, Bulgaria, Kenya, Senegal, Nigeria, and Denmark, while rotating across payrolls internationally and ensuring accuracy, timeliness, and compliance with local requirements
Maintain robust internal controls and evaluate current work processes to drive process improvements, enhancing efficiencies, accuracy, and ensuring compliance with SOX and other regulatory requirements
Collaborate and manage relationships with internal stakeholders including HR, Benefits and Equity Team, and external partners such as Payroll Service Providers, authorities, and auditors for business initiatives or payroll escalations
Take ownership of payroll compliance and filings, including responding to ad hoc requests from local statutory authorities and Internal Audit
Analyze and prepare data analytics for leadership review, and identify opportunities for process improvement
Manage Salesforce case management for payroll-related inquiries, ensuring timely resolution and escalation of issues as necessary
Manage vendor performance for payroll operations, including monitoring adherence to SLAs, conducting root cause analysis for issues, and driving remediation and resolution strategies
Stay up-to-date with International payroll regulations and compliance requirements, ensuring that payroll practices are in accordance with local laws and regulations
Support ongoing global/regional finance operations projects as required
Assist with other operational tasks as assigned by management
Requirements
Highly organized with a specific attention to detail and the ability to multitask in a fast-paced environment
Analytical mindset with a focus on problem-solving and continuous improvement
Bachelor's degree in Finance, Business Administration, or a related field
At least 5 years of relevant experience in regional Payroll Operations within International payroll, preferably with a fast-growing multinational company
Experience with ADP Celergo and/or SAP
Working knowledge of EMEA payroll regulations, tax laws, and compliance requirements, with experience applying them to multi-country payroll processing
Experience in managing offshore payroll teams and working effectively with outsourced payroll vendors and geographically dispersed teams
Proven experience with processing end to end Payroll
Demonstrated curiosity and initiative in driving process improvements and exploring innovative solutions within payroll operations
Ability to communicate effectively in English, required for coordinating with cross-regional teams and external vendors across EMEA
Nice to have
Experience supporting Payroll Operations across 10 or more EMEA countries simultaneously
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Familiarity with GDPR requirements as they apply to employee payroll data handling and retention
Experience contributing to payroll system implementations, migrations, or process automation initiatives
Proficiency in data analysis tools such as Excel for payroll reconciliation and reporting
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)