Mobility Tax Analyst
Full Job Posting
Core Responsibilities
Track and review tax payments, shadow payroll, and tax equalization across multiple countries
Initiate expat-related tax and payroll payment requests; review payroll outputs for accurate and compliant reporting.
Verify mobility and tax cost reporting for accruals and cross charges
Maintain relationships with external tax service providers to ensure our employees receive best-in-class support and advice
Build strong relationships with internal stakeholders across all levels of the business to drive projects and initiatives related to mobility processes and internal systems
Identify opportunities to integrate AI and automation into mobility tax workflows — from data gathering and reconciliation to vendor communication and compliance tracking
Partner with Palantir's internal AI and data teams to help build and refine tools that improve the speed, accuracy, and scalability of global mobility operations
What We Value
Excellent customer service skills and a passion for developing strong partnerships with stakeholders
Curiosity about AI and emerging technologies — you don't need to be an engineer, but you should be excited about using AI tools to work smarter, automate the mundane, and focus your energy on higher-value work
Comfort working in a data-rich environment and a desire to use analytics to drive better decisions and outcomes in mobility tax operations
Meticulous attention to detail, including maintaining accurate records and diligently tracking key project metrics
Enthusiasm for supporting internal projects and business priorities, bringing order and efficiency to critical internal initiatives
What We Require
2+ years of Global Mobility, Tax or Payroll experience within a large public accounting or law firm, and/or a company that deploys employees overseas for project-based work
Knowledge of U.S. income taxes; familiarity with foreign tax systems is a plus
About Palantir Technologies
We build software that empowers organizations to effectively integrate their data, decisions, and operations.
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