Senior Compensation Analyst

Build and maintain compensation models. You’ll develop scalable models that support market benchmarking, budget planning, scenario analysis, and data reconciliation, delivering data-driven insights that inform compensation strategy and business decisions Lead compensation analytics. You’ll drive survey participation, job matching, market pricing, and trend analyses to evaluate pay competitiveness and inform salary structures, equity bands, and compensation recommendations across global markets Design and maintain reporting and trackers. You’ll create and maintain compensation trackers, dashboards, and budgets, delivering accurate, timely reporting that stakeholders can rely on Administer broad-based compensation. You’ll support annual merit, promotion, and variable/incentive compensation cycles end to end, including planning, modeling, award generation, payroll/equity reconciliation, and post‑cycle analysis Build and improve compensation systems. You’ll maintain and enhance the compensation tooling, job catalog, and databases used by the People and Recruiting teams, and design automations that reduce manual work and error Support M&A integration. You’ll provide compensation analysis and support for mergers and acquisitions, including due diligence, harmonizing pay structures, and integrating acquired employees into Robinhood’s programs Further AI and automation across the function. You’ll use AI and modern tooling to enhance and streamline benchmarking, analysis, communications, and reporting, making processes faster and more accurate Partner cross‑functionally. You’ll work with People Partners, HRIS, Finance, and Legal on year‑round initiatives and ad‑hoc analyses, ensuring clean data flows and clear communication Clear communication — you turn complex analysis into actionable recommendations. Experience administering broad‑based and variable/incentive compensation. Hands‑on experience with HRIS, Compensation Data, and benchmarking tools. Advanced Excel/Google Sheets modeling with large datasets. Sharp attention to detail, sound judgment with sensitive data, and strong ownership. 4–6 years of compensation experience. Fluency with AI tools and a bias for automating analytical work. #J-18808-Ljbffr