Principal Product Analyst

Upstart · Fintech · Remote · Data Analytics Group

Upstart is a fintech company that uses AI and advanced ML models to power its lending marketplace. This Principal Product Analyst role will partner with Product, Engineering, and ML teams to drive product strategy, lead experimentation, and execute behavioral analyses for unsecured installment products. The role requires strong SQL, statistical programming, A/B testing, and BI tool experience.

What you'd actually do

  1. Partner closely with Product Management, Engineering, and Design leaders to define success metrics, size new opportunities, and shape the strategic roadmap for our unsecured installment products.
  2. Own the end-to-end A/B testing lifecycle—from hypothesis generation and experimental design to deep-dive analysis and executive readout—to continuously optimize user funnels and product features.
  3. Dive deep into complex user journey data to uncover friction points, retention drivers, and growth levers, translating raw telemetry into actionable product recommendations.
  4. Collaborate with Engineering teams to define tracking requirements for new product launches, ensuring high data quality and building intuitive dashboards that empower teams with self-serve insights.
  5. Act as a thought leader within the Product Analytics organization by mentoring peers, establishing best practices for analytical rigor, and championing a deeply data-informed culture across Upstart.

Skills

Required

  • 10+ years of professional experience in product analytics, data science, or a similar quantitative role focused on product optimization and user behavior.
  • Expert-level proficiency in SQL & strong applied experience with 1+ statistical programming language (Python or R)
  • Proven track record of designing, executing, and evaluating A/B tests, with a deep understanding of experimental design, hypothesis testing, and statistical rigor.
  • Hands-on experience building foundational reporting and interactive dashboards using modern Business Intelligence and data visualization tools (e.g., Looker, Tableau, or similar).

Nice to have

  • Master’s / PhD in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science)
  • Experience working with lending products, risk modeling, or financial services analytics.
  • Excellent communication skills with a proven ability to present complex data insights in a clear and actionable manner.
  • Comfort with ambiguity and a strategic mindset for solving complex, unstructured problems.