Compensation Data Analyst

Compa

$80K — $110K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience with compensation data and benchmarking
  • Experience with structured datasets and data validation methods
  • Strong analytical and problem-solving abilities
  • Effective communication skills for diverse audiences
  • Familiarity with HR technology systems
  • Ability to thrive in a collaborative, fast-paced environment

Responsibilities

  • Monitor compensation data health across customer accounts
  • Investigate and resolve data inconsistencies
  • Collaborate with Product and Engineering on data pipelines
  • Respond to data inquiries from customers and teams
  • Execute and validate routine data updates
  • Conduct recurring data quality checks
  • Merge expertise in compensation with data operations and product quality

Benefits

  • Ownership of data quality and customer trust
  • Visibility in impact on product reliability
  • Collaborative and fast-paced working environment
Full Job Description
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.

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