Staff Data Analyst

Upstart Upstart · Fintech · Remote · Data Analytics

This role is for a Staff Data Analyst at Upstart, a fintech company focused on AI-driven lending. The analyst will partner with Operations and Product teams to provide data-driven insights, build scalable dashboards and reporting, conduct root cause analyses, and support product experiments. The role emphasizes influencing strategy and improving operational efficiency and borrower outcomes. While the company heavily utilizes AI, this specific role is focused on data analysis and reporting rather than direct AI/ML model development.

What you'd actually do

  1. Partner with Operations, Product Management, and leadership teams to define success metrics, evaluate operational performance, and influence servicing strategy through data-driven insights
  2. Build and maintain scalable dashboards, reporting frameworks, and business review materials that enable self-service analytics across Operations teams
  3. Diagnose changes in borrower and operational performance metrics by conducting root cause analyses and identifying actionable recommendations
  4. Lead analytical support for product experiments and operational initiatives, including measurement design, performance evaluation, and strategic recommendations
  5. Identify opportunities to improve operational efficiency and borrower outcomes by connecting insights across servicing workflows, agent performance, and payment behaviors

Skills

Required

  • 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, and delivering data-driven recommendations to cross-functional stakeholders

Nice to have

  • Knowledge of consumer lending, servicing operations, collections, or other financial services domains
  • Experience supporting product experiments, operational experimentation, or A/B testing initiatives
  • Ability to navigate ambiguous business problems and independently prioritize analytical opportunities with measurable impact
  • Skilled in communicating analytical insights and business trends to senior leadership audiences
  • Experience leveraging AI-enabled tools or automation techniques to improve reporting workflows, analysis, or operational efficiency

What the JD emphasized

  • 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, and delivering data-driven recommendations to cross-functional stakeholders