Analyst, Product Pricing

Toronto·6447 Product Pricing·other
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<h2>Who we are</h2> <h3>About Stripe</h3> <p>Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world&#39;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&#39;s reach while doing the most important work of your career.</p> <h3>About the team</h3> <p>The Pricing Strategy team is part of the Stripe 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 the most visible and commercially impactful decisions at Stripe. We&#39;re looking for someone who blends financial analysis, strategic thinking, and stakeholder engagement to help us price new products and evaluate their pricing performance as the products evolve.</p> <h2>What you&#39;ll do</h2> <ul> <li>Be rigorous and detail-oriented. You are energized by complex, ambiguous pricing questions and are comfortable going deep in the data to find answers.</li> <li>Be a storyteller. You translate complex, nuanced findings into compelling, actionable narratives that resonate with senior stakeholders and drive the organization to action.</li> <li>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 diagnostic approaches to move forward with confidence.</li> <li>Be a collaborator. You partner effectively across Engineering, Product, Finance, and Sales to drive alignment and get things built.</li> </ul> <h3>Responsibilities</h3> <ul> <li>Drive pricing analytics and strategy by conducting rigorous analysis on ambiguous, high-impact questions about the Stripe business, and translating findings into clear recommendations that shape pricing decisions and commercial strategy</li> <li>Uncover growth opportunities by analyzing pricing realization, identifying products where pricing adjustments are warranted, and understanding how factors like multi-product adoption and user churn shape the economics of our business</li> <li>Accelerate the pace of pricing decisions by codifying solutions to the complex, recurring diagnostic questions that sit at the core of our pricing strategy</li> <li>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</li> </ul> <h2>Who you are</h2> <p>We&#39;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.</p> <h3>Minimum requirements</h3> <ul> <li>Bachelor&#39;s degree in a STEM or business major (e.g., Computer Science, Math, Statistics, Engineering, Business Administration)</li> <li>5+ years of experience in data-intensive roles with a focus on translating insights into strategic business outcomes</li> <li>Strong problem-solving ability, proficiency with SQL (minimum of 3 years advanced SQL), and strong understanding of data relationships</li> <li>Proven ability to collaborate cross-functionally (e.g., Product, Engineering, Finance teams)</li> <li>Excellent verbal and written communication skills</li> <li>Ability to toggle between high-level strategy and granular system details</li> </ul> <h3>Preferred qualifications</h3> <ul> <li>Master&#39;s degree in a STEM major</li> <li>Domain knowledge in pricing or go-to-market&nbsp;</li> <li>Experience in fast-paced environments (e.g., high-growth fintech, tech, or management consulting)</li> <li>Familiarity with Python, R, or similar languages for advanced data manipulation</li> </ul>

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