Total Rewards Analyst at Nuro

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 an

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