Compensation Analyst (relocation to Boston)

Axon Axon · Enterprise · NY · Remote · 4601 People Operations

This role is for a Senior Compensation Analyst who will partner with HR and business leaders to design and implement data-driven compensation strategies. The role involves using AI and automation tools to modernize compensation insights, scale global Total Rewards programs, and ensure equity and competitiveness. The analyst will also manage compensation programs, conduct job evaluations, and analyze program effectiveness.

What you'd actually do

  1. Serve as the Compensation Partner for a specific line of business, collaborating closely with that vertical’s HR Leader to advise on all compensation-related topics, including offers, promotions, pay structures, and retention strategies.
  2. Own and lead major compensation programs such as Axon’s annual pay equity analysis, year-end compensation cycle, and/or XSP stock processes, ensuring rigor, equity, and flawless execution.
  3. Design, develop, and communicate global compensation programs that are market-competitive, scalable, and aligned to Axon’s business strategy.
  4. Conduct job evaluations, job leveling, and provide salary recommendations ensuring internal equity and external competitiveness across all regions.
  5. Partner with HR Business Partners and Talent Acquisition on complex internal and external offers; guide leaders with clear compensation storytelling and market context.

Skills

Required

  • 4-6 years of progressive compensation and/or HR partner experience
  • Advanced analytical (Excel) and problem-solving skills
  • Proficient with Microsoft Word and PowerPoint
  • Experience managing highly complex projects
  • Excellent time management
  • Strong interpersonal and communication (written and verbal) skills

Nice to have

  • International compensation experience
  • Exposure to and/or interest in Benefits projects

What the JD emphasized

  • AI and automation tools to improve compensation analytics, streamline reporting, and enhance decision-making