Compensation & Analytics Senior Analyst

Forter; New York (NY); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Vision & Dental Benefits

Fitness Subsidies

25 days holiday (excl. bank holidays)

Work from home opportunities

Health insurance

Job summary

Forter is seeking a Sr. Analyst on the Total Rewards team to own compensation operations, including job architecture, market pricing, and end-to-end cycles. You will partner with HR, Finance, and leaders to guide offers, promotions, and retention with a data-driven approach.

You will also develop reporting, training materials, and scalable processes, leveraging AI tools to automate analysis and documentation across global populations.

Qualifications

• 3–5 years of progressive compensation experience, ideally in a tech or high-growth environment.

Responsibilities

• Own compensation operations and end-to-end comp cycles.
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Skills

Analytical thinking

Strong communication

Advanced Excel

Data-driven decision making

Global compensation experience

Tools

Radford

HiBob

Aeqium

Excel

Claude

Glean

Gemini

Job description

• We are looking for a sharp, analytically-driven Sr. Analyst to join Forter’s Total Rewards team as a compensation professional. You will own our compensation operations, including job architecture, market pricing of new roles, and end-to-end delivery of recurring programs like our comp cycles
• You will also partner with HR, Finance, and functional stakeholders to support hiring, retention, and career growth through clear compensation guidance. This role reports to the Sr. Director of Total Rewards
• Own our global compensation operations and recurring programs end-to-end, including the main and secondary comp cycles, promotions, and bonus payouts: timelines, budgets, Aeqium configuration, manager guidance, and post‑cycle reporting
• Manage and evolve our job architecture, including job profiles, leveling criteria, and grade structures, so it scales with the business and supports consistent pay decisions
• Price new and evolving roles using Radford and other survey data, maintain job matches, support the annual range refresh, and turn findings into clear recommendations
• Advise People Partners, Talent Acquisition, Finance, and functional leaders on offers, promotions, retention, and leveling, with defensible guidance grounded in Forter’s compensation philosophy
• Build and maintain recurring compensation and headcount reporting, and help Finance track compensation budgets
• Develop training materials and comp education for managers and People Partners, and keep improving our processes and documentation to make programs more scalable
• We expect you to use AI tools (e.g., Claude, Glean, Gemini) in your day‑to‑day work to automate analysis, reporting, and documentation, and to continually find new ways to scale the team’s impact with AI

Benefits

• Vision & Dental Benefits
• Fitness Subsidies
• 25 days holiday (excl. bank holidays)
• Work from home opportunities
• Health insurance

3–5 years of progressive compensation experience, ideally in a tech or high‑growth environmentHands‑on market pricing experience using Radford (or similar) and the ability to translate findings into clear narrativesHands‑on experience using AI tools (e.g., Claude, Glean, Gemini) to automate analysis, reporting, and documentation, and genuine curiosity about applying them to compensation workStrong communication skills and the ability to partner with and influence People Partners, Talent Acquisition, Finance, and business leadersExperience owning compensation programs such as salary reviews, promotion cycles, and bonus plans, with strong process ownership and attention to data integrityStrong analytical skills: advanced Excel, compensation modeling, and workforce analytics. Experience with HRIS and comp planning tools (e.g., HiBob, Aeqium) is a plusBackground supporting multiple functions and global populations, with hands‑on job architecture and leveling experienceCollaborative, solutions‑oriented approach, with the ability to bring structure to ambiguity and make programs better over time