Global Compensation Analyst I — Shape Global Pay with Data

Premierresearch; United States; Remote; USD 60,000 - 75,000; Full time

Job summary

Premier Research is seeking a Global Compensation Analyst I to join our People Systems and Operations team in the United States. You will help classify and benchmark jobs, support compensation surveys, and ensure accurate data for reporting and decision making.

The successful candidate will have a bachelor’s degree and 1–2 years’ experience in HR, finance, or data analytics, strong Excel skills, and excellent English communication.

Qualifications

• Bachelor’s degree or international equivalent in Business, Finance, HR, Economics, Data Analytics or related field.
• 1–2 years of relevant experience in HR, Compensation, Finance, Data Analysis, Payroll, HR Operations or similar role.
• Strong analytical and numerical skills with attention to detail.
• Good MS Excel skills, including lookups, PivotTables and working with large datasets.
• Good verbal and written English communication skills.

Responsibilities

• Supports classification and benchmarking of new jobs within the existing job architecture.
• Supports compensation survey activities by preparing, validating and submitting company data.
• Supports compensation data analysis and reporting, including routine data checks and ad hoc reports.
• Supports HRIS and compensation data audits and identifies discrepancies.
• Participates in Compensation, HRIS, Talent Acquisition and People Partner meetings, providing analytical support.

Skills

Analytical skills

Excel

Data analysis

English communication

Education

Bachelor’s degree or international equivalent in Business/Finance/HR/Economics/Data Analytics

Tools

HRIS

Compensation systems

Job description

Premier Research is seeking a Global Compensation Analyst I to join our People Systems and Operations team in the United States. You will help classify and benchmark jobs, support compensation surveys, and ensure accurate data for reporting and decision making.

The successful candidate will have a bachelor’s degree and 1–2 years’ experience in HR, finance, or data analytics, strong Excel skills, and excellent English communication.