1 день назад
Senior Compensation Analyst (AI)
85 500 - 107 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Compensation Analyst (AI): Building and maintaining global compensation models, salary bands, equity ranges, dashboards, and compensation planning tools with an accent on financial modeling, statistical analysis, and pay transparency compliance. Focus on forecasting compensation costs, modeling equity dilution and burn rates, validating planning-system rules, and using AI to streamline analytical workflows.
Location: Hybrid; work from the assigned office a minimum of 3 days per week. Chicago pay range applies.
Salary: $85,500–$107,000 USD annually, plus equity and benefits.
Company
provides an intelligent content management platform that combines collaboration, content lifecycle management, security, workflow transformation, and enterprise AI.
What you will do
- Conduct global market pricing and maintain salary bands, equity ranges, geographic pay differentials, and total cash targets.
- Model equity burn rates, dilution, overhang, run-rate projections, compensation costs, and planning scenarios.
- Build executive dashboards and reporting tools that turn compensation data into actionable insights.
- Support compensation planning tool setup, testing, budget-rule validation, data audits, and final cycle processing.
- Ensure compliance with global and local pay transparency legislation, reporting standards, and audit requirements.
- Partner with People Partners, Recruiting, Stock Administration, Finance, Accounting, and Legal while using AI to improve workflows and communications.
Requirements
- Bachelor’s degree in Finance, Economics, Statistics, HR, Business, or equivalent practical experience.
- 4–5 years of strong analytical experience building complex financial, statistical, or compensation models in Excel.
- Solid understanding of broad-based pay, incentive structures, and equity compensation.
- Proficiency with Workday and compensation benchmarking or survey tools such as Radford, Pave, or Syndio.
- Strong quantitative analysis, communication, organization, and problem-solving skills.
- Ability to work from the assigned office at least 3 days per week.
Culture & Benefits
- AI-first working environment focused on faster, smarter decision-making.
- Opportunities to use permitted AI tools and automated workflows in accordance with data privacy policies.
- Role eligibility for equity and employee benefits.
- Community and in-person collaboration are core parts of the workplace culture.
- Inclusive environment with reasonable accommodations available during the application and interview process.
Hiring process
- The recruiter will provide additional details about the working model and company culture during the hiring process.
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