Remote Compensation & Analytics Lead

Affirm

United States

Remote

CAD 112,000 - 172,000

Full time

3 days ago
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Benefits offered by this job

Health care coverage
Flexible Spending Wallets
Time off
ESPP

Job summary

Affirm is seeking a Compensation Lead to own end-to-end compensation systems, including Radford and Pave, with a strong focus on data-driven analysis and cross-functional collaboration. You will manage semiannual processes, annual studies, and pay equity analyses while supporting equity programs and global reporting.

The role emphasizes attention to detail, integrity with sensitive information, and ability to work independently or with teams in a remote-first environment.

Qualifications

  • 5+ years of experience in compensation or people analytics.
  • Experience with compensation management systems (with a strong preference towards pave).
  • Passion for working with data and turning raw data into actionable insights using tools like Excel/Google Sheets, Sigma computing, Claude code.

Responsibilities

  • Manage the end-to-end administration of our semiannual compensation processes.
  • Lead annual compensation studies, audit roles, benchmark our market positioning, and evaluate updates to cash and equity structures/ranges.
  • Conduct ad hoc compensation analyses across incentive programs, equity, and pay equity analyses.
  • Own the pay reporting process for the geographies Affirm supports.
  • Assist with compensation training and communications.

Skills

Compensation experience
People analytics
Excel/Sheets
Data analysis
Collaboration

Tools

Sigma computing
Claude code

Job description

Affirm is seeking a Compensation Lead to own end-to-end compensation systems, including Radford and Pave, with a strong focus on data-driven analysis and cross-functional collaboration. You will manage semiannual processes, annual studies, and pay equity analyses while supporting equity programs and global reporting.

The role emphasizes attention to detail, integrity with sensitive information, and ability to work independently or with teams in a remote-first environment.

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