Compensation Data Analyst (AI)

TL;DR

Compensation Data Analyst (AI): Maintaining trust in hirify.global’s compensation insights by monitoring data yields, identifying systemic data issues, and resolving customer-specific data problems with an accent on data operations and product quality. Focus on performing recurring data quality checks to proactively maintain data integrity.

Location: Orange County HQ; Denver Office; San Francisco

Salary: $100K – $145K

hirify.globalny-description">hirify.globalny

hirify.global is a venture-backed AI startup revolutionizing the future of compensation.

What you will do

• 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.

Requirements

• 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.

Nice to have

• 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.

Culture & Benefits

• Collaborative, curious, and driven team that values transparency, ownership, and continuous learning.
• Prioritizing in person work where possible.
• Offers Equity.