Compensation Analyst

Hiring: Compensation Analyst | Remote – US - Only GCEAD, USC, GC
Contract Opportunity-- Part-time, 20 hours per week
We’re seeking an analytical and detail-oriented Compensation Analyst to support compensation analytics, financial modeling, benchmarking, and total rewards programs. This role is ideal for a compensation professional who combines strong compensation domain knowledge with advanced data analysis skills and can translate complex datasets into actionable business insights.
Position Details
Location: Remote – Anywhere in the US.
Pay Rate: $48–$53/hr. on W2.
Duration: 6 Months.
Hours: Part-time, 20 hours per week.
Time Zone: Must be available to work 1–2 hours overlapping with the Australia team.
Key Responsibilities
Build compensation models and analyze scenarios to evaluate costs and business impact.
Analyze large datasets and develop reusable models, reports, and analytical tools.
Conduct compensation benchmarking, market analysis, and pay-related reviews.
Support retention planning, offer recommendations, and compensation structure analysis.
Assist with merit, bonus, commission, equity refresh, and compensation planning cycles.
Utilize market survey data from providers such as Radford, Mercer, and WTW.
Prepare reports, presentations, and actionable recommendations for HR and business leaders.
Manage multiple priorities independently while maintaining accuracy and meeting deadlines.
Required Qualifications
3–5+ years of experience in Compensation, Total Rewards, or related HR Analytics.
Strong expertise in compensation modeling, benchmarking, and data analysis.
Advanced proficiency in Google Sheets and Microsoft Excel.
Experience working with compensation market survey data and salary benchmarking tools.
Ability to analyze complex datasets, identify trends, and communicate meaningful insights.
Strong problem-solving, organizational, and stakeholder communication skills.
Ability to work independently in a fast-paced environment.
Preferred Skills
Experience with SQL, Databricks, or other data analytics tools.
Exposure to global compensation programs and distributed workforces.
Experience supporting compensation planning, merit cycles, retention programs, and pay mix analysis.
Ideal Candidate
A hands-on compensation professional who understands core compensation principles, excels at data modeling, and can independently turn business requirements into structured analyses and actionable recommendations.
Interested? Please share your updated resume and the best time to connect to discuss this opportunity.

Work arrangement
Yes