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 the pay of employees in similar positions. The base salary range is 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.
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.Skills Required
- BA/BS degree in Finance, Data Analytics, Statistics, Economics, or equivalent experience
- 5+ years of dedicated, progressive experience in Compensation
- Advanced proficiency in Excel (complex formulas, VBA, Power Query)
- Strong working knowledge of HRIS systems
- Experience with Workday (preferred HRIS)
- Outstanding written and verbal communication skills
- High learning agility, flexibility, and strong quantitative problem-solving skills
- Experience using AI tools for data work (e.g., ChatGPT Advanced Data Analysis, Microsoft Copilot)
- Experience building interactive dashboards (Tableau, Power BI, or similar)
- Familiarity with Python, R, or SQL for data manipulation and automation
- Project management and process documentation experience for scalable workflows
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
