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Compensation Analyst

NVIDIA· Analyst, Comp
Apply on company site
Santa Clara, CA$112k - $178.3kPosted 3mo ago

About the role

Data-driven Compensation Analyst who will contribute to the strategic development and implementation of compensation programs, build analytic tools, automate processes, and provide actionable insights through advanced analytics and storytelling with data.

Responsibilities

  • Evolve Compensation Strategy: Help redefine how we think about base, variable, and equity compensation structures.
  • Advanced Analytics: Apply quantitative and qualitative analysis to identify problems, develop hypotheses, and recommend data-backed solutions for compensation programs and processes.
  • Data Visualization & Modeling: Build and develop dynamic dashboards and analytic models to provide actionable business insights and interpret market or internal trends.
  • Workday Optimization: Partner with the HRIS/Systems team to implement, test, and define requirements for Workday performance and compensation modules, ensuring seamless updates to structures and job profiles.
  • Drive Automation: Streamline and automate monthly, quarterly, and annual compensation reporting and analysis using modern data tools and AI workflows.
  • Market Benchmarking: Conduct global market benchmarking, assess peer groups, and ensure consistent market pricing practices while maintaining internal equity.
  • Storytelling with Data: Provide sophisticated compensation analytics, clearly conveying complex findings and recommendations to collaborators.

Qualifications

  • BA/BS degree, preferably in a quantitative-focused major (e.g., Finance, Data Analytics, Statistics, Economics) or equivalent experience.
  • 5+ years of dedicated, progressive experience in Compensation.
  • Core Tech Stack: Advanced proficiency in Excel (complex formulas, VBA, Power Query) and a strong working knowledge of HRIS systems (preferably Workday).
  • Communication: Outstanding written and verbal communication skills with the ability to translate complex data into clear, actionable narratives.
  • Soft Skills: High learning agility, flexibility, and unmatched quantitative problem-solving skills.

Skills

Required:ExcelWorkdayData VisualizationCommunication

Benefits

  • equity
  • comprehensive benefits package
Last updated Jul 24, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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