Analyst, Product Pricing

Job Overview

We are seeking an Analyst, Product Pricing to join Stripe's Pricing Strategy team, which is part of the Product Marketing organization. As an Analyst, you will be responsible for driving pricing analytics and strategy by conducting rigorous analysis on ambiguous, high-impact questions about Stripe's business.

Responsibilities

• Drive pricing analytics and strategy by conducting rigorous analysis on ambiguous, high-impact questions about Stripe's business, and translating findings into clear recommendations that shape pricing decisions and commercial strategy.
• Uncover growth opportunities by analyzing pricing realization, identifying products where pricing adjustments may be warranted, and understanding how factors like multi-product adoption and user churn shape the economics of our business.
• Accelerate the pace of pricing decisions by codifying solutions to the complex, recurring analytical questions that sit at the core of Stripe's pricing strategy.
• Improve our data and systems infrastructure by identifying gaps in how we capture and evaluate pricing outcomes, and partnering cross-functionally with Engineering, Product, and Data teams to design and implement robust, scalable solutions.

Requirements

• Bachelor’s degree in a STEM or business major (e.g., Computer Science, Math, Statistics, Engineering, Business Administration).
• 5+ years of experience in data-intensive roles with a focus on translating insights into strategic business outcomes.
• Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships.
• Proven ability to collaborate cross-functionally (e.g., Product, Engineering, Finance teams).
• Excellent verbal and written communication skills.
• Ability to toggle between high-level strategy and granular system details.

Preferred Qualifications

• Master’s degree in a STEM major.
• Domain knowledge in pricing and/or GTM.
• Experience in fast-paced environments (e.g., high-growth fintech, tech, or management consulting).
• Familiarity with Python, R, or similar languages for advanced data manipulation.