The Role:We are seeking a Compensation Analyst to support Compa's customers in understanding, implementing, and getting value from our platform. This role blends compensation knowledge, data expertise, and customer-facing communication. You'll educate customers on how Compa solves compensation challenges, support onboarding and implementation, and contribute to thought leadership through insights and content.
Key ResponsibilitiesOnboarding & Data Mapping- 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.
Data Review & Optimization- 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.
Customer Education & Engagement- Deliver demos, trainings, and research that explain Compa's offerings and how they address compensation challenges.
Insights & Content Development- Identify trends and insights using Compa's data network.
- Contribute to research, blog posts, guides, and other educational content as needed.
Minimum Qualifications:- 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
Preferred Qualifications:- 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
