Compensation Data Analyst

About the role

The Compensation Data Analyst plays a critical role in maintaining trust in Compa’s compensation insights by monitoring data yields, identifying systemic data issues, resolving customer-specific data problems, and supporting ongoing data releases and quality management.

Key Responsibilities

• Maintain the health and recency of compensation data across customer accounts.
• Investigate and resolve data inconsistencies to ensure reliable insights in the platform.
• Partner with Product, Engineering, and Integrations teams to support stable data pipelines.
• Respond to customer- and internally-reported data questions with clear, timely communication.
• Execute routine data updates and validate accuracy as part of ongoing data releases.
• Perform recurring data quality checks to proactively maintain data integrity.

Minimum Qualifications

• Experience working with structured datasets and performing data validation or quality checks.
• At least 3 years of experience working with compensation data and deep knowledge of compensation benchmarking.
• Familiarity with HR technology systems and comfort working with technology systems.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to communicate clearly about data findings and issues with both technical and non-technical stakeholders.
• Comfort working in a fast-paced, collaborative environment with evolving priorities.

Preferred Qualifications

• Exposure to data integrations or APIs.
• Data analysis and proficiency in advanced data analysis (SQL, Python, etc.).
• Prior experience in a customer-impacting or support-adjacent role, where clear communication and timely resolution were important.