Compensation Analyst responsible for building and scaling global compensation programs at Harvey. Focused on data accuracy, benchmarking, and collaboration with teams to enhance talent retention.
Responsibilities
Maintain Harvey’s compensation structures, pay ranges, and job levels within Workday.
Own Workday Advanced Compensation setup, configuration, and testing in collaboration with the People Systems team.
Ensure accuracy and consistency of compensation data across systems and processes.
Lead Harvey’s participation in Radford and other compensation survey submissions, ensuring complete and accurate data.
Analyze Radford and broader market data to ensure Harvey remains competitive and equitable.
Provide actionable insights on pay positioning, market trends, and compensation practices.
Build and maintain compensation models to support annual review cycles and new program design.
Model cost and equity impact scenarios for proposed changes in pay structures or programs.
Prepare stock grant exhibits and related documentation for Carta.
Partner with the Compensation Business Partner, Benefits, Finance, and Recruiting teams to deliver compensation cycles on time and with precision.
Contribute to the design and rollout of new compensation programs (e.g., incentive plans, equity refreshes, global pay frameworks).
Streamline and automate compensation processes to improve scalability and employee experience.
Respond to compensation-related questions with accuracy, empathy, and discretion.
Requirements
4–6 years of experience in compensation or total rewards, ideally in a fast-paced or global environment.
Strong understanding of base, bonus, and equity compensation structures.
Hands-on experience with Workday Advanced Compensation and data management.
Skilled in Radford or similar compensation survey platforms.
Advanced proficiency in Excel or Google Sheets (modeling, pivot tables, lookups, and scenario analysis).
Detail-oriented, analytical, and comfortable navigating ambiguity in a high-growth setting.
Excellent communicator who can simplify complex compensation concepts for non-experts.
Collaborative team player who thrives in cross-functional environments.
Curious, proactive, and passionate about using data to drive better decisions.
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