Compensation Analyst

Compa

Compensation Analyst supporting Compa's customers in using compensation data platform. Analyzing data, delivering trainings, and contributing to educational content.

Posted 4/23/2026full-timeOrange County • California • 🇺🇸 United StatesJunior💰 $95,000 - $115,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with new customers to interpret compensation data and map it into Compa’s platform
Work cross-functionally with Onboarding Managers and Integrations Engineers to ensure accurate and efficient setup to accelerate customer time-to-value
Analyze and validate customer data to troubleshoot issues and ensure accuracy
Make light system configuration updates (e.g., mapping fields, updating structures, enabling settings) to optimize efficiency
Recommend and implement data updates to improve efficiency and system performance
Collaborate with product and support teams to resolve complex data challenges
Deliver demos, trainings, and research that explain Compa’s offerings and how they address compensation challenges
Identify trends and insights using Compa’s data network
Contribute to research, blog posts, guides, and other educational content as needed

Requirements

What you’ll need

1 year of experience in compensation total rewards, Human Resource analytics, or People Systems
Familiarity with compensation benchmarking
Sound understanding of all elements of compensation (base, incentives, equity) and how they interact
Strong drive to learn and grow by working hard, seeking feedback, and collaborating effectively with teammates
Familiarity with HR technology systems and comfort working with technology systems
Strong analytical skills with proficiency in data tools (e.g., Excel, Google Sheets, or similar)
Excellent written and verbal communication skills, including the ability to explain complex topics clearly
Comfort working directly with customers and prospects in both technical and advisory capacities
2+ years of experience in compensation total rewards, Human Resource analytics, or People Systems (Preferred)
Data analysis and proficiency in advanced data analysis (SQL, Python, etc.) (Preferred)
Experience creating or contributing to educational content (guides, reports, articles) (Preferred)
Solid understanding of designing and configuring systems to support engineering teams (Preferred)

Benefits

Comp & perks

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Hard Skills & Tools

compensation total rewardsHuman Resource analyticsPeople Systemscompensation benchmarkingdata analysisadvanced data analysisSQLPythonExcelGoogle Sheets

Soft Skills

strong drive to learncollaborationanalytical skillsexcellent written communicationexcellent verbal communicationcustomer interactionadvisory skillsproblem-solvingfeedback seekingcontent creation