Compensation Data Analyst

About Compa

Compa is a venture-backed AI startup revolutionizing the future of compensation! We're bringing AI-forward tools and human-centered engineering to make pay competitive and fair, for all. By offering a premier, live compensation data platform that delivers top-tier intelligence to enterprise teams, we enable the world's largest companies to make smart and fair decisions while staying competitive and compliant. In dynamic job markets during the rise of AI, companies need the best data to stay competitive!

Our force-multiplying team is powered by live data and thoughtful design, and our products have earned the trust of the world's largest companies: NVIDIA, Stripe, DoorDash, OpenAI, Moderna, Workday, Ulta, Target, and more.


Come build with us!

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

• Monitor 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.
• You'll work at the intersection of compensation expertise, data operations, and product quality.
• The role offers clear ownership and visibility, with meaningful impact on customer trust and product reliability.

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.