Data Analyst, Macro Analytics

Data Science Overview

Data Science at Stripe is a vibrant community where data analysts, data scientists, and engineers learn and grow together. You'll work with some of Stripe's most fundamental and exciting data, and use that data to help drive company-wide initiatives.

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

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
• 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

Preferred Qualifications

• Experience with AI tools to accelerate model development, analysis, and coding
• 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

Benefits

• Annual US base salary range: $134,000 - $242,400
• Equity
• Company bonus or sales commissions/bonuses
• 401(k) plan
• Medical, dental, and vision benefits
• Wellness stipends

Office Locations

• New York
• South San Francisco HQ
• Seattle

Team

• Data & Data Science