Hiring.Camp

Total Rewards Analyst

Nuro

Location
Mountain View, California (HQ) · California - HQ
Department
Human Resources
Experience
3+ years

Description

Who We Are 

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.

Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.

With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

We are looking for a Total Rewards Analyst to support Nuro’s compensation and benefits programs across the company. This role will help ensure our total rewards programs are competitive, accurate, scalable, and aligned with the needs of the business.

As a key member of the People team, you will support benefits administration, compensation analysis, salary range development, market pricing, recruiting offer support, and program audits. 

You will work closely with Total Rewards, Recruiting, HRBPs, People Operations, Finance, Payroll, and business leaders to provide data, analysis, and operational support across core rewards programs. This role is a strong fit for someone who enjoys working with data, understands the importance of accuracy and confidentiality, and can balance analytical work with employee-facing support. The ideal candidate is detail-oriented, practical, and comfortable operating in a fast-moving environment where high-quality execution matters.

About the Work

  • Support compensation modeling, market pricing, salary range development, offer analysis, and pay decision support for Recruiting, HRBPs, Finance, and Technology Group and Business Group leaders.
  • Support key compensation cycles, including merit, bonus, equity refresh, promotions, and off-cycle adjustments.
  • Build reports and analyses that help identify pay trends, internal equity considerations, market competitiveness, and compensation program needs.
  • Maintain accurate compensation and benefits data through audits, reporting, documentation, and system updates.
  • Improve Total Rewards processes through cleaner data, stronger documentation, scalable workflows, and thoughtful use of AI-enabled tools.
  • Optimize benefits administration processes, audit enrollments, invoice reconciliation, and compliance documentation to cut manual effort and reduce friction for employees.
  • Identify and build automation for recurring benefits operations, including eligibility checks, leave tracking, vendor coordination, and employee communications.

About You

  • 3+ years of experience in compensation, benefits, total rewards, HR analytics, People Operations, or a similar analytical HR role.
  • Strong numerical reasoning and analytical skills with advanced Excel or Google Sheets usage, including formulas, modeling, pivot tables, and large datasets.
  • Experience supporting compensation work such as market pricing, salary ranges, offers, merit, bonus, equity, or leveling.
  • Experience supporting benefits administration, employee inquiries, open enrollment, vendor coordination, invoice reconciliation, or audits.
  • High attention to detail, strong judgment, and discretion when working with confidential employee and company data.
  • Clear communicator who has experience explaining compensation and benefits topics to employees, managers, and cross-functional partners.
  • Comfortable operating in a fast-paced environment with multiple priorities, deadlines, and stakeholders.
  • Bachelor’s degree in Human Resources, Business, Finance, Economics, or a related field, or equivalent practical experience.
  • Familiarity with AI-enabled tools and interest in applying them thoughtfully to improve TR effectiveness, while maintaining confidentiality and appropriate judgment.

Bonus Points 

  • Experience supporting global benefits and compensation programs.
  • Experience with compensation survey tools or market data providers such as Radford, Mercer, Pave, or similar platforms.
  • Experience with Workday or another modern HRIS.
  • Experience supporting equity compensation, RSU planning, or compensation planning systems.
  • Experience in a technology company or high-growth, start-up environment.
  • Certified Compensation Professional, SHRM certification, or similar HR / rewards certification.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $99,220 and $149,330 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Skills

ExcelWorkdayCompliance

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Total Rewards Analyst at Nuro | Hiring.Camp