Stripe is hiring a
Compensation Analyst

Summary

Join Stripe as a Compensation Analyst and support the company's growth and success by providing data-driven insights and executing critical compensation processes.

Requirements

• 3 - 5+ years of relevant work experience in the compensation field (either as a member of an compensation HR team or as an external compensation consultant; or as both)
• Experience developing and managing global compensation programs and processes, preferably in a high-growth, scaling, technology environment
• Strong understanding of compensation best practices, current compensation trends, and market benchmark data
• Proven analytical skills, a keen eye for detail, and truly in-depth knowledge of Excel / Google Sheets including building and maintaining complex models
• Experience communicating effectively across diverse teams, including translating complex ideas and quantitative insights into digestible information for leaders and employees
• Deep commitment to excellent user experience, empathy, and discretion
• Familiarity with equity compensation programs and related compliance requirements

Responsibilities

• Play a critical role in our annual pay range benchmarking and review process
• Serve as the point-person for all annual compensation survey submissions to third-party survey vendors
• Support Stripe’s relationship with third-party vendors by ensuring data sets are comprehensive and current
• Administer the monthly equity grant process, including gathering and auditing data, and communicating with cross-functional teams (i.e., Equity Management, Legal, etc.)
• Collaborate with People and Finance teams to ensure accurate and timely compensation data and reporting
• Ensure data accuracy and integrity by performing periodic audits in our HRIS (Workday)
• Assist in the day-to-day support of addressing compensation inquiries from employees
• Support the design and development of annual compensation planning programs
• Participate in research and analysis for new compensation policies and programs
• Manage and analyze complex datasets to distill insights and convey findings; build tools as required to improve efficiency

Preferred Qualifications

• Strong knowledge of Workday and/or Tableau functionality
• Experience with Workday and the Workday Advanced Compensation module
• Experience supporting equity compensation programs at a private or publicly traded company
• Highly organized, with the ability to manage multiple high-priorities in a fast-paced environment
• Experience with programming languages (e.g., Python, SQL, Java)