At Nuro, your base pay is one part of your total compensation package.
Key Responsibilities
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.
Requirements
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.