Analyst, Product Pricing

1 day ago
Full-time
Senior
Data Science and Analytics
Stripe

Stripe

Stripe is a global technology company that provides financial infrastructure for the internet. They offer a suite of APIs and tools for businesses to accept online and in-person payments, automate financial processes, and embed financial services in th...

Diversified Financial Services
5K-10K
Founded 2009
$8700M raised

Description

  • Drive pricing analytics and strategy by analyzing ambiguous, high-impact business questions and turning findings into pricing and commercial recommendations.
  • Uncover growth opportunities by evaluating pricing realization, product-level pricing adjustments, multi-product adoption, and user churn economics.
  • Codify repeatable solutions to recurring analytical questions that sit at the core of Stripe's pricing strategy.
  • Improve data and systems infrastructure by identifying gaps in pricing outcome measurement and evaluation.
  • Partner with Engineering, Product, Data, Finance, and Sales to design and implement scalable solutions.
  • Translate complex findings into clear, actionable narratives for senior stakeholders.
  • Help accelerate pricing decisions by bringing rigor and structure to ongoing pricing analyses.

Requirements

  • Bachelor’s degree in a STEM or business major such as Computer Science, Math, Statistics, Engineering, or Business Administration.
  • 5+ years of experience in data-intensive roles focused on translating insights into strategic business outcomes.
  • Strong analytical ability and advanced SQL proficiency, including at least 3 years of advanced SQL experience.
  • Strong understanding of data relationships.
  • Proven ability to collaborate cross-functionally with Product, Engineering, and Finance teams.
  • Excellent verbal and written communication skills.
  • Ability to move between high-level strategy and detailed system-level work.
  • Master’s degree in a STEM major (preferred).
  • Domain knowledge in pricing and/or go-to-market strategy (preferred).
  • Experience in fast-paced environments such as high-growth fintech, tech, or management consulting (preferred).
  • Familiarity with Python, R, or similar languages for advanced data manipulation (preferred).

Interested in this position?

Apply directly on the company website

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