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Data Analyst, Macro Analytics
Build analytics frameworks, data pipelines, and dashboards to deliver macro and financial insights for Treasury, Finance, and Risk teams. Requires 3-6 years experience, SQL/Python proficiency, and FinTech/finance domain knowledge.
New York, NYData AnalyticsHybrid3+ YOE
About the role
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
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
Skills
SQLPythonData VisualizationStatistical AnalysisBusiness IntelligenceData PipelinesHadoopSparkAI ToolsFinancial Analysis
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