Data Analyst, Macro Analytics

Responsibilities

• Work with Treasury Finance, Finance & Strategy, Risk and Engineering to build out analytics and observability framework for Stripe's financial position
  
• Investigate macro signals and build analytical frameworks that inform financial planning and strategic decisions
  
• Develop targeted observability and performance analytics for both standard and event-driven environments, providing key insights to senior leadership on Stripe’s business position as macro/market conditions shift 
  
• Understand and leverage Stripe's data assets to analyze financial performance and develop scalable data foundations for existing and emerging analytical needs
  
• Work with heterogeneous and unstructured data to develop insights and recommendations
  
• Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure that serve business needs
  
• Support ongoing reporting, stakeholder communications, and information requests across Treasury Finance and Finance & Strategy

• Minimum requirements:

  • Must be located in New York or willing to relocate as this role is hybrid
    
  • 3–6 years of experience in Data Research & Analysis, Risk Modeling & Analysis roles, Business Intelligence and Data Engineering, building data pipelines and analyzing large datasets to solve problems
    
  • Proficiency in SQL and Python
    
  • Strong statistical knowledge and business intuition
    
  • Ability to clearly communicate results and drive impact
    
  • Experience in analytics in FinTech, banking, investment management, corporate finance, treasury, or financial services 
    
  • Expertise in visualization and using data insights to make recommendations and achieve goals
    
  • Proven ability to manage and deliver on multiple concurrent projects with strong attention to detail
    
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights
    
  • Proficiency with AI tools to accelerate model development, analysis, and coding
    

  Preferred qualifications:

  • Master's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
    
  • Prior experience at a growth-stage internet or FinTech company
    
  • Prior experience in macro analytics, corporate finance, financial planning, and portfolio management
    
  • Familiarity with financial and accounting data, time-series data, macroeconomic analysis or economic indicator development
    
  • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines
    
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing