Principal Analyst, Upstart

• 10+ years of experience in product analytics, data science, or a related quantitative role, preferably in fintech, lending, or consumer finance
• Strong proficiency in SQL and Python (or R) for data analysis, modeling, and automation
• Experience with A/B testing, causal inference, and experimental design to drive product decisions
• Excellent communication skills with a proven ability to present complex data insights in a clear and actionable manner
• Background in statistical analysis, predictive modeling, or machine learning, with experience applying these to product or financial decision-making

Desirable

• As a Principal Analyst, you’ll play a critical role in driving data-driven decision-making for our Small Dollar Loan product
• Partnering with Product, Engineering, and Data Science, you’ll uncover insights, shape strategy, and enhance our data infrastructure to optimize product performance
• Your work will directly influence Upstart’s continued growth, ensuring our product evolves to better serve customers while scaling efficiently
• Develop and execute data-driven strategies to guide the growth and evolution of the Small Dollar product
• Collaborate with Product and GM to shape product roadmaps and business strategies, ensuring data-driven decisions at every stage
• Design, build, and maintain analytics frameworks that help measure product performance, user behavior, and loan outcomes
• Conduct deep-dive analyses and modeling to uncover growth opportunities, optimize loan performance, and enhance risk strategies
• Define and implement experimentation strategies (A/B testing, causal inference) to improve customer experience and financial outcomes
• Communicate insights and recommendations effectively to both technical and non-technical stakeholders, influencing product and business decisions