Compensation Analyst supporting customers in utilizing Compa’s platform for compensation data. Involves onboarding, data mapping, and delivering customer education with compensation expertise.
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.
Requirements
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 (Preferred)
Data analysis and proficiency in advanced data analysis (SQL, Python, etc.) (Preferred)
Experience creating or contributing to educational content (guides, reports, articles). (Preferred)
Solid understanding of designing and configuring systems to support engineering teams (Preferred).
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