Compensation Analyst: Data-Driven Pay & Analytics

Taylormade; Carlsbad (CA); On-site; USD 95,000 - 135,000; Full time

Job summary

TaylorMade is seeking a Compensation Analyst to support daily compensation processes, merit, bonus, and salary planning, and related equity analyses. You will work under guidance to prepare grade recommendations and ensure policy compliance.

You’ll partner with HR, Finance, Payroll, and international teams, handling market pricing, data integrity, and AI-assisted research while maintaining confidentiality in a fast-paced environment.

Qualifications

• Bachelor’s degree in HR, Business, Finance, Economics, Data Analytics, or related field.
• 3+ years of experience in compensation, HR analytics, or related field including at least two years of direct compensation experience.
• Experience supporting sales or incentive compensation programs, market pricing and survey participation, HRIS or compensation systems, and annual merit or bonus cycles.

Responsibilities

• Support merit, bonus, and salary planning cycles using established guidelines and Workday.
• Assist US/Canada sales compensation administration and incentive calculations.
• Maintain market pricing datasets, complete job matches, and analyze survey results.
• Ensure data integrity and compliance across compensation systems and audits.
• Collaborate with HR, Finance, Payroll, HR Systems, and international teams.

Skills

Market pricing

Job evaluation

Salary structures

Internal equity

Advanced Excel

Data analysis

Communication

Project coordination

AI literacy

Confidentiality

Education

Bachelor’s degree in HR/Business/Finance

CCP certification progress

Tools

Workday

Data visualization tools

Job description

TaylorMade is seeking a Compensation Analyst to support daily compensation processes, merit, bonus, and salary planning, and related equity analyses. You will work under guidance to prepare grade recommendations and ensure policy compliance.

You’ll partner with HR, Finance, Payroll, and international teams, handling market pricing, data integrity, and AI-assisted research while maintaining confidentiality in a fast-paced environment.