Brex-posted 4 months ago
$152,000 - $190,000/Yr
Full-time • Mid Level
San Francisco, CA
Credit Intermediation and Related Activities

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises - including DoorDash, Flexport, and Compass - use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

  • Develop and apply data-driven methodologies to analyze customer behavior, retention trends, and product adoption, focusing on how product changes impact long-term customer value.
  • Design and implement predictive models, causal inference methods, as well as experimentation strategies to measure and optimize the effect of product changes on customer growth and engagement.
  • Partner with Product, Engineering, and Customer Success teams to identify key opportunities for improving customer engagement and long-term retention.
  • Collaborate with Data Engineering to build scalable data pipelines that support product analytics and reporting.
  • Clearly communicate findings and strategic recommendations to both technical and non-technical stakeholders.
  • Master's degree or Ph.D. in Statistics, Computer Science, Economics, or a related quantitative field.
  • 3+ years of experience in a data science, analytics, or related role focused on product analytics.
  • Strong experience with SQL and Python (or R) for data analysis and modeling.
  • Proficiency in A/B testing methodologies, causal inference, and predictive modeling.
  • Ability to translate complex data insights into strategic business recommendations.
  • Familiarity with BI tools (e.g., Tableau, Looker) and data visualization best practices.
  • Strong problem-solving skills and the ability to work in a fast-paced, cross-functional environment.
  • Experience working in B2B SaaS or fintech.
  • Experience in developing frameworks to measure feature adoption and identifying product opportunities that drive customer lifetime value.
  • Familiarity with product analytics tools (e.g., Amplitude, StatSig).
  • Equity and other forms of compensation may be provided as part of a total compensation package.
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