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Stripe

Analyst, Product Pricing

Reposted 22 Hours Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Analyze and drive pricing strategy by conducting thorough pricing analytics, translating insights into business strategy, and collaborating with various teams to improve data infrastructure.
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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

The Pricing Strategy team is part of Stripe's Product Marketing organization and is responsible for how Stripe prices its products. Our work is highly cross-functional and we partner closely with Product, Finance, and Sales to tackle some of Stripe's most visible and commercially impactful decisions. We're looking for someone who can blend financial analysis, strategic thinking, and stakeholder engagement to help us price new products and evaluate their pricing performance as the products evolve.

What you’ll do
  • Be deeply analytical. You are energized by complex, ambiguous pricing questions and are comfortable going deep in the data to find answers
  • Be a storyteller. You can translate complex, nuanced findings into compelling, actionable narratives that resonate with senior stakeholders and drive the organization to action 
  • Be a pragmatic problem-solver. You are comfortable making and defending well-reasoned judgments even when data is imperfect or incomplete, and know how to ask the right questions and find creative analytical approaches to move forward with confidence
  • Be a collaborator. You partner effectively across Engineering, Product, Finance, and Sales to drive alignment and get things built
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
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
  • 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

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