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NVIDIA

Compensation Analyst

NVIDIA is hiring a Compensation Analyst in Santa Clara, United States. It pays $112k-$178k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • Tools and skills the posting cites include ChatGPT and Copilot.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

chatgptcopilot

We are looking for a creative, data-driven Compensation Analyst to join our team. If you are a problem solver with strong analytical prowess, excellent communication skills, and a genuine passion for data analytics, this role is for you.

As a Compensation Analyst, you won’t just crunch numbers—you will contribute to the strategic development and implementation of our compensation programs. You will collaborate with team members to develop modern analytic tools, automate legacy processes, and help compose the future of our compensation strategy. The ideal candidate is enthusiastic, hardworking, and thrives on building elegant analytical models.

What You’ll Be Doing:

  • Evolve Compensation Strategy: Help us redefine and evolve how we believe 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.

What We Need to See:

  • 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.

Ways to Stand Out from the Crowd:

  • AI & Automation Savvy: Experience bringing to bear AI tools (e.g., ChatGPT Advanced Data Analysis, Microsoft Copilot) to accelerate data cleaning, script writing, and compensation reporting.

  • BI & Visualization: Proven experience building interactive dashboards using Tableau, Power BI, or other advanced analytic platforms.

  • Coding & Automation: Familiarity with Python, R, or SQL for data manipulation and automating repetitive workflows.

  • Project Mastery: Strong planning, organizational, and project management skills with a track record of driving initiatives from concept to completion.

  • Scalable Processes: Demonstrated experience developing and implementing scalable, repeatable processes backed by detailed ongoing documentation.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
112,000 USD – 178,250 USD for Level 3; and 144,000 USD – 230,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Compensation Analyst at NVIDIA rates 49 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ChatGPTCopilot

Questions you could be asked

  1. What's a project where you used ChatGPT hands-on?
  2. Walk me through how you've used Copilot in your day-to-day work.
  3. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  4. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: ChatGPT and Copilot. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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