Principal Product Analyst, Upstart

• 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)

Desirable

• Upstart’s Product Analytics team is the compass for our product development, dedicated to transforming complex user behavior and platform data into clear, actionable product strategies
• Operating at the intersection of data, engineering, and product management, the team designs rigorous experiments, builds scalable data infrastructure, and uncovers the deep insights that drive continuous innovation and ensure our lending products deliver exceptional value
• As a Principal Product Analyst supporting our unsecured installment products (including Personal Loans, Relief Loans, and Cashline), you will act as a strategic partner to product leadership, owning the analytics roadmap for a core area of Upstart's business
• You will champion a culture of experimentation, execute high-impact analyses to decode user journey dynamics, and collaborate seamlessly with Product, Engineering, and Machine Learning teams to translate complex data into scalable, growth-driving product enhancements
• Drive product strategy through data: 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
• Lead rigorous experimentation: 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
• Execute high-impact behavioral analyses: Dive deep into complex user journey data to uncover friction points, retention drivers, and growth levers, translating raw telemetry into actionable product recommendations
• Architect scalable data solutions: 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