Staff Data Analyst

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team: Upstart’s Servicing Analytics team partners closely with Operations, Product, and leadership teams to improve borrower outcomes and operational effectiveness across the servicing lifecycle. The team combines deep business understanding with analytical rigor to drive strategy, operational insights, experimentation, and scalable reporting solutions. As a Staff Data Analyst at Upstart, you will serve as a strategic analytics partner to Operations and Product leaders, helping shape servicing strategy through data-driven insights and scalable reporting solutions. You will work across ambiguous and evolving business problems, independently identifying opportunities, diagnosing trends, and influencing decision-making with clear analytical recommendations. How you’ll make an impact Partner with Operations, Product Management, and leadership teams to define success metrics, evaluate operational performance, and influence servicing strategy through data-driven insights Build and maintain scalable dashboards, reporting frameworks, and business review materials that enable self-service analytics across Operations teams Diagnose changes in borrower and operational performance metrics by conducting root cause analyses and identifying actionable recommendations Lead analytical support for product experiments and operational initiatives, including measurement design, performance evaluation, and strategic recommendations Identify opportunities to improve operational efficiency and borrower outcomes by connecting insights across servicing workflows, agent performance, and payment behaviors Translate complex analytical findings into clear business narratives for senior stakeholders, including regular presentations to leadership audiences Minimum Qualifications Bachelor’s degree in Analytics, Engineering, Mathematics, Statistics, or a related field (or its equivalent) plus 6 years of experience 8+ years of experience in data analytics, business analytics, or a related analytical function supporting business operations or product organizations Advanced SQL experience, including building complex queries and transforming large datasets for analytical and reporting use cases Experience building dashboards and automated reporting solutions using BI tools such as Tableau, Looker, or similar platforms Experience conducting root cause analysis, defining performance metrics, an ... (truncated, view full listing at source)