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Compensation Analyst

TaylorMade Golf
Carlsbad, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 weeks ago
excel

Full Job Posting

Knowledge and Skills

  • Requirements:
  • Working knowledge of broad compensation principles, including market pricing, job evaluation, salary structures, internal equity, incentive plan mechanics, and FLSA. Working knowledge of federal and California wage and hour rules and an awareness of international practices.
  • Strong Excel skills, including lookups, nested formulas, pivot tables, and data reconciliation, with the ability to work accurately with large data sets.
  • Strong analytical and problem-solving skills, with the ability to follow established methods, identify data issues, and check work independently.
  • Clear written and verbal communication, including the ability to summarize technical information for HR and business audiences.
  • Sound judgment to support routine pay actions, apply established guidelines, and recognize when additional review or escalation is needed.
  • Strong organization and project coordination skills, with the ability to manage assigned deliverables and meet deadlines in a fast-paced environment.
  • Strict confidentiality with sensitive employee and pay data.
  • Solution driven and proactive in communication, problem solving, partnership and continuous improvement efforts.
  • AI Skills:
  • Prompting and workflow use: Familiarity with using clear prompts, approved templates, and established AI workflows to assist with survey summaries, job description drafts, and employee communications.
  • Output review: Ability to compare AI-generated content with source information, identify obvious issues, and seek guidance before using outputs in compensation work.
  • Data protection: Follows established requirements for approved tools, confidential data, and appropriate review when using AI.
  • AI-assisted work and learning: Comfortable using approved AI tools for basic analysis, Excel support, and drafting, with a willingness to learn and apply feedback.
  • Education, Work Experience, and Professional Certifications:
  • Bachelor’s degree in human resources, Business, Finance, Economics, Data Analytics, or a related field, or equivalent experience.
  • 3+ years of experience in compensation, HR analytics, or a related field, including at least two years of direct compensation experience.
  • Certified Compensation Professional (CCP) designation or progress toward certification preferred.
  • Experience supporting sales or incentive compensation programs, market pricing and survey participation, HRIS or compensation systems, and annual merit or bonus cycles.
  • Workday Compensation experience preferred.
  • Exposure to international market pricing, Workday testing, dashboarding or data visualization tools, and pay equity or pay transparency analysis strongly preferred.
  • Demonstrated use of enterprise generative AI tools such as Microsoft Copilot and Claude, including validating outputs and protecting confidential data preferred.
  • Work Environment / Physical Requirements:
  • Normal office conditions with extensive computer and phone usage.
  • Ability to work extended hours as necessary, particularly during annual compensation cycles and sales incentive payout periods.
  • Able to work efficiently and accurately in an atmosphere of frequent interruption.
  • Light physical effort equal to frequent lifting or moving of lightweight materials.
  • TaylorMade is a performance driven organization and our total rewards approach to compensation is designed to support this. We consider many factors in determining base compensation, including position scope, job related knowledge, education, skills, experience, and work location. The expected annual base pay range for this position is $85,000 - $93,000. Additional benefits, such as health & wellness, performance bonuses, product discounts, holidays, paid time off, etc. may also be offered in accordance with our plans.
  • #LI-Onsite
  • #LI-CL1
  • TaylorMade Golf Company is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, religious creed, color, national origin or ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, pregnancy, gender, gender identity, gender expression, age, sexual orientation, military and veteran status or any other basis protected by federal, state or local law, ordinance, or regulation.

Qualifications

  • Working knowledge of broad compensation principles, including market pricing, job evaluation, salary structures, internal equity, incentive plan mechanics, and FLSA. Working knowledge of federal and California wage and hour rules and an awareness of international practices.
  • Strong Excel skills, including lookups, nested formulas, pivot tables, and data reconciliation, with the ability to work accurately with large data sets.
  • Strong analytical and problem-solving skills, with the ability to follow established methods, identify data issues, and check work independently.
  • Clear written and verbal communication, including the ability to summarize technical information for HR and business audiences.
  • Sound judgment to support routine pay actions, apply established guidelines, and recognize when additional review or escalation is needed.
  • Strong organization and project coordination skills, with the ability to manage assigned deliverables and meet deadlines in a fast-paced environment.
  • Strict confidentiality with sensitive employee and pay data.
  • Solution driven and proactive in communication, problem solving, partnership and continuous improvement efforts.
  • Prompting and workflow use: Familiarity with using clear prompts, approved templates, and established AI workflows to assist with survey summaries, job description drafts, and employee communications.
  • Output review: Ability to compare AI-generated content with source information, identify obvious issues, and seek guidance before using outputs in compensation work.
  • Data protection: Follows established requirements for approved tools, confidential data, and appropriate review when using AI.
  • AI-assisted work and learning: Comfortable using approved AI tools for basic analysis, Excel support, and drafting, with a willingness to learn and apply feedback.
  • Bachelor’s degree in human resources, Business, Finance, Economics, Data Analytics, or a related field, or equivalent experience.
  • 3+ years of experience in compensation, HR analytics, or a related field, including at least two years of direct compensation experience.
  • Normal office conditions with extensive computer and phone usage.
  • Ability to work extended hours as necessary, particularly during annual compensation cycles and sales incentive payout periods.
  • Able to work efficiently and accurately in an atmosphere of frequent interruption.
  • Light physical effort equal to frequent lifting or moving of lightweight materials.
  • TaylorMade is a performance driven organization and our total rewards approach to compensation is designed to support this. We consider many factors in determining base compensation, including position scope, job related knowledge, education, skills, experience, and work location. The expected annual base pay range for this position is $85,000 - $93,000. Additional benefits, such as health & wellness, performance bonuses, product discounts, holidays, paid time off, etc. may also be offered in accordance with our plans.
  • TaylorMade Golf Company is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, religious creed, color, national origin or ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, pregnancy, gender, gender identity, gender expression, age, sexual orientation, military and veteran status or any other basis protected by federal, state or local law, ordinance, or regulation.

Preferred Qualifications

  • Certified Compensation Professional (CCP) designation or progress toward certification preferred.
  • Experience supporting sales or incentive compensation programs, market pricing and survey participation, HRIS or compensation systems, and annual merit or bonus cycles.
  • Workday Compensation experience preferred.
  • Exposure to international market pricing, Workday testing, dashboarding or data visualization tools, and pay equity or pay transparency analysis strongly preferred.
  • Demonstrated use of enterprise generative AI tools such as Microsoft Copilot and Claude, including validating outputs and protecting confidential data preferred.

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