• What you’ll do

As a Compensation Analyst at Stripe, your primary role is to support Compensation Program Managers and Compensation Partners by providing data-driven insights and executing our most critical compensation processes. You will also work closely with cross-functional stakeholders on teams such as Talent & Development, Global Equity Management, People Analytics, Finance & Strategy and others, to ensure our compensation offerings continue to scale effectively, supporting Stripe's growth and success.

• Conduct detailed compensation analysis and modeling to support compensation program design, recommendations and decision making
• Play a critical role in our annual pay range benchmarking and review process
• Support Stripe’s relationship with third-party vendors by ensuring data sets are comprehensive and current
• Develop and maintain compensation tools, dashboards, and templates to drive informed decision-making
• 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)
• 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
• Who you are
• We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
• 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 with programming languages (e.g., Python, SQL, Java)
• 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
• 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