Manager, Finance and Policy Data Science

Stripe

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.

What you'll do

  • Play a key role in supporting our strategic and financial planning processes through world-class metrics, analysis, visualizations, and data-driven storytelling
  • Actively contribute to the design and implementation of scalable, self-serve data products such as business intelligence infrastructure, data marts, dashboards, automated anomaly detection and trend explanation models
  • Define and monitor financial and business metrics, establish governance processes, and lead cross-functional initiatives to implement metrics and self-serve tools across Stripe products
  • Go deep on understanding business drivers, user segments, cohorts and macroeconomic trends to answer key questions business leaders are wrestling with, and proactively identify areas of opportunity and risk
  • Prepare presentations, analyses, metrics and dashboards for Stripe’s executive team and board of directors
  • Recruit, coach and develop data analysts and data scientists
  • Help the team do its best work and engage effectively with the rest of Stripe
  • Contribute to data science initiatives as a member of Stripe’s data science management team

Who you are

We are seeking an experienced analytics leader to join our Data Science team and harness the power of our rich data to inform Stripe’s financial and strategic planning. You’ll partner with Finance & Strategy, Pricing, Policy, Data Science and Engineering to develop the team’s technical vision, build scalable business intelligence infrastructure, define and monitor performance metrics, conduct in depth analysis of business drivers, and communicate actionable insights.

Minimum requirements

  • 3+ years of management experience leading diverse, high-performing teams of data analysts and scientists in a positive work environment that’s both supportive and challenging
  • 7+ years experience in data analysis and reporting
  • Extensive experience and passion for metrics, dashboards, visualizations and in-depth analysis
  • Expertise in SQL, data modeling, relational databases, and building ETL pipelines
  • Expertise in data visualization tools such as Tableau, Power BI, Looker, etc.
  • Experience with at least one scientific computing language such as Python or R for data analysis, causal inference and/or modeling
  • Excellent communication and presentation skills
  • The ability to work cross-functionally, think rigorously, and make hard decisions and tradeoffs
  • A can-do attitude, empathy, commitment to great results, and genuine passion for learning
  • A degree in Computer Science, Statistics, Economics or another quantitative field

Preferred qualifications

  • Experience with tools for working with “big data” in a distributed fashion such as Spark, Hadoop, etc. and workflow engines such as Airflow, etc.
  • Strong knowledge of statistics and causal inference
  • An advanced degree in  in Computer Science, Statistics, Economics or another quantitative field

 

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