Job Highlights
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The Data Analyst, Macro Analytics at Stripe will partner with various teams to ensure that users, products, and business have the necessary models, data products, and insights for decision-making and growth. The role involves building metrics, scalable data pipelines, dashboards, and reports, while delivering actionable business insights through analyses and data storytelling.
Experience Level
Mid Level
Data Analyst, Macro Analytics
Posted 1 weeks ago
Full-Time
Employment Type
Remote
Work Location
About This Role
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About The Team
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. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What You'll Do
In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll also work with leaders to translate business needs into data problems. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business insights through analyses and data storytelling.
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
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.
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
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