🚀 About Compa

Compa is a venture-backed SaaS startup revolutionizing the future of compensation.

In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.

Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.

Our customers include the world’s biggest companies: Apple, NVIDIA, Tesla, Mastercard, T-Mobile, Sanofi, Moderna, Gilead Sciences, and more.

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 Responsibilities:

Customer Education & Engagement

• Deliver demos, trainings, and research that explain how 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.

Onboarding & Data Mapping

• Partner with new customers to interpret compensation data and map it into Compa’s platform.

• Ensure accurate and efficient setup to accelerate 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.

Minimum Qualifications:

• 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:

• At least 3 years of experience in compensation

• Deep knowledge of compensation benchmarking

• Familiarity with all elements of compensation (base, incentives, equity)

• Experience creating or contributing to educational content (guides, reports, articles).

• System configuration

• Data analysis and proficiency in advanced data analysis (SQL, Python, etc.)