Compensation Data Analyst at compa

**Who this is for** This role is for a detail-oriented compensation professional who enjoys technical problem-solving and ensuring the integrity of complex data

Work type: hybrid

Location: Orange County HQ | Denver Office | San Francisco

Salary: $100,000 – $145,000/yr

Type: Full-time

Summary

**Who this is for** This role is for a detail-oriented compensation professional who enjoys technical problem-solving and ensuring the integrity of complex datasets within a fast-paced AI startup environment. **Key highlights** You will serve as a bridge between compensation expertise and technical operations, maintaining the reliability of Compa’s platform by monitoring data pipelines, performing quality assurance, and resolving issues for enterprise-level clients. **You might be a good fit if you...** - Possess at least 3 years of experience in compensation benchmarking and managing structured HR datasets. - Have technical proficiency in data validation, with the ability to leverage SQL or Python for analysis. - Enjoy collaborating with product and engineering teams to ensure stable data integrations and system health. - Excel at translating technical data findings into clear, actionable insights for both internal and external stakeholders.

Job Description

### About Compa

Compa is a venture-backed AI 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: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more.

Locations:

Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible.

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.

• 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.

• 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.

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