Senior Compensation Analyst

Employer Industry: Financial Technology

• Salary up to $150,000
• Opportunity for career advancement and growth within the organization
• Comprehensive benefits package including medical, dental, and vision coverage, life insurance, and a 401(k) plan with company match
• 20 days of paid time off and 9 sick days
• Engaging work environment with technology talks by experts and daily catered lunches
• Informal mentorship opportunities for personal and professional development

• Partner closely with the Compensation Manager to deliver and continuously improve compensation programs and processes
• Support the administration and analysis of equity compensation programs, including grant modeling and reporting
• Build, maintain, and enhance complex compensation models in Excel to support decision-making, scenario analysis, and workforce planning
• Conduct market pricing, job evaluations, and internal pay equity analyses across a global workforce
• Collaborate closely with HR Business Partners, Finance, Legal, and other stakeholders on compensation-related initiatives

• Typically, 4–6+ years of progressive experience in compensation, total rewards, or a closely related quantitative HR or finance‑adjacent field
• Advanced Excel skills, including complex formulas, large datasets, scenario modeling, and data validation
• Strong quantitative and analytical skills with demonstrated experience building and interpreting compensation or financial models
• Working knowledge of compensation fundamentals, including job architecture, market pricing, salary structures, incentives, and equity compensation
• Clear, concise written and verbal communication skills

• Experience supporting compensation programs in a global or multi‑jurisdictional environment
• Exposure to equity compensation programs; startup or high‑growth company experience is a plus
• Experience using Workday HCM for compensation administration, reporting, and data management is a strong plus
• Familiarity with scripting or programming languages (e.g., Python) for data analysis or automation is a plus

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