Stripe
Fintech • eCommerce • B2B
Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.
Analytics Lead
Job not on LinkedIn
August 27
Stripe
Fintech • eCommerce • B2B
Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.
📋 Description
• Our mission is to make privacy and user ownership the default online. We build simple, flexible developer tooling that make it easy to build products that put users first. • Analytics at Privy is not just about running queries or building reports; we transform messy, high-volume data into scalable systems and clear insights that guide product decisions and business strategy. • Design pipelines that are resilient, models that are intuitive, and tools that make data accessible and trustworthy for everyone across the company.
🎯 Requirements
• 8+ years in an analytics engineering or data engineering role, preferably in a SaaS environment. • Proficiency in SQL and data modeling techniques. • Experience with ETL processes and tools (e.g., Airflow, dbt, or similar). • Familiarity with analytics tools like Looker, Tableau, or similar BI platforms. • Experience working with cloud data storage solutions (AWS, GCP, etc.). • Familiarity with product analytics tools (e.g., Amplitude, Mixpanel). • Ability to translate business requirements into analytical solutions. • Comfortable working with cross-functional teams, presenting technical insights to non-technical stakeholders.
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