Compensation Onboarding Analyst

Compa is a venture-backed AI startup revolutionizing the future of compensation. The Compensation Onboarding Analyst will support customers in understanding and implementing Compa's platform, blending compensation knowledge, data expertise, and customer-facing communication.

Responsibilities

• Partner with new customers to interpret compensation data and map it into Compa’s platform
• Work cross-functionally with Onboarding Managers and Integrations Engineers to ensure accurate and efficient setup to accelerate customer time-to-value
• Analyze and validate customer data to troubleshoot issues and ensure accuracy
• Make light system configuration updates (e.g., mapping fields, updating structures, enabling settings) to optimize efficiency
• Recommend and implement data updates to improve efficiency and system performance
• Collaborate with product and support teams to resolve complex data challenges
• Deliver demos, trainings, and research that explain Compa’s offerings and how they address compensation challenges
• Identify trends and insights using Compa’s data network
• Contribute to research, blog posts, guides, and other educational content as needed

Skills

• 1 year of experience in compensation total rewards, Human Resource analytics, or People Systems
• Familiarity with compensation benchmarking
• Sound understanding of all elements of compensation (base, incentives, equity) and how they interact
• Strong drive to learn and grow by working hard, seeking feedback, and collaborating effectively with teammates
• Familiarity with HR technology systems and comfort working with technology systems
• Strong analytical skills with proficiency in data tools (e.g., Excel, Google Sheets, or similar)
• Excellent written and verbal communication skills, including the ability to explain complex topics clearly
• Comfort working directly with customers and prospects in both technical and advisory capacities
• 2+ years of experience in compensation total rewards, Human Resource analytics, or People Systems
• Data analysis and proficiency in advanced data analysis (SQL, Python, etc.)
• Experience creating or contributing to educational content (guides, reports, articles)
• Solid understanding of designing and configuring systems to support engineering teams

Company Overview