Global Compensation Analyst

Job Details: Job Description: About the Role We are seeking a data-driven, analytical, and detail-oriented Global Compensation Analyst to join our growing Total Rewards team. In this role, you will support the design, administration, and continuous improvement of compensation programs that help attract, motivate, and retain top talent across multiple international regions. This role is well suited for an individual with 5+ years of foundational compensation experience, a strong understanding of core rewards principles, and an interest in expanding their global compensation expertise. You will contribute to key corporate initiatives, global market benchmarking, and the execution of annual compensation cycles. What You’ll Do Compensation Cycle Execution: Play a key supporting role in the planning and administration of our global annual merit, bonus, and equity review cycles. Workday enhancements: Serve as the business owner for Workday Compensation, including prioritizing enhancements, defining requirements, partnering with HRIS, and ensuring solutions effectively support compensation programs and business needs. Data & System Integrity: Partner closely with HR Operations to ensure compensation structures, grades, job profiles, and employee data are accurately maintained in our HRIS Analytics & Reporting: Build and maintain dynamic dashboards and reports to analyze compensation trends, costs, and effectiveness for leadership. Ad-Hoc Consultation: Act as a trusted partner to Talent Acquisition and HR Business Partners, providing data-backed guidance on off-cycle promotions, new hire offers, and localized compensation challenges. Global Market Benchmarking: Participate in annual global compensation surveys (e.g., Radford/Aon, Mercer). Match internal roles to market data, analyze competitive positioning, and recommend structure adjustments across various global entities. Pay Equity & Compliance: Assist in tracking and auditing compensation practices to ensure internal equity and compliance with local labor laws across all operating regions. The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance. $106.2K - $153.7K USD We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations. Qualifications: Experience: 5+ years of dedicated experience in corporate compensation, total rewards, or deep HR data analytics. Global/international compensation exposure is highly preferred. Analytical Superpowers: Advanced Excel skills are a must (think building clean, formula-driven models). You see the story behind the numbers. System Savvy: Hands-on experience with automated HRIS platforms. Experience navigating or configuring compensation modules in systems like Workday is a key benefit Communication Style: Ability to break down complex financial or data concepts into clear, digestible insights for HR partners and managers. Detail & Discretion: High emotional intelligence, absolute discretion when handling highly confidential data, and a meticulous eye for detail. Education: Bachelor’s Degree in Human Resources, Finance, Business Administration, Economics, or a related field (or equivalent practical experience). Job Type: Regular Shift: Shift 1 (United States of America) Primary Location: San Jose, California, United States Additional Locations: Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.