Upstart (NASDAQ: UPST) is the leading AI lending marketplace, connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart’s AI models and cloud applications to deliver superior credit products.

With Upstart AI, lenders can approve more borrowers at lower rates across races, ages, and genders, while delivering the exceptional digital-first experience customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.

Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans.

Upstart is based in San Mateo, California, and Columbus, Ohio.

At the forefront of Upstart’s success, the Investor Analytics team plays a pivotal role in securing capital—a critical function that powers our business. This is a high-impact, high-visibility role where you’ll collaborate across the organization to deliver the analytical insights and technical capabilities that drive data-informed decision-making.

As a Senior Data Analyst, you will play a pivotal role in influencing Upstart’s success. Partnering closely with our Capital Markets and Lending Partnership teams, you’ll drive insights into loan credit and financial performance, helping investors, banks, and credit unions leverage Upstart’s cutting-edge technology to achieve their business goals. This is a high-visibility opportunity to make a meaningful impact on the growth and innovation of a company reshaping the future of lending.

Position Location - This role is available in the following locations: Remote, USA

Time Zone Requirements - This team operates on both East and West coast time zones, at the candidate preference

Travel Requirements - This team has regular onsite collaboration sessions. These occur 5 days per Month at the San Mateo office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

How you’ll make an impact:

• Exciting, high-impact role: Work closely with Capital Markets and Lending Partnership teams to shape Upstart’s capital strategy. You’ll engage directly with capital investors to showcase the strength of Upstart’s platform, build lasting confidence, and craft tailored capital solutions that drive innovation and growth
• Collaborate Across Teams: Work hand-in-hand with Data Analytics, Machine Learning, Product, Engineering, and Finance teams to shape credit metrics, craft compelling narratives, and develop financial forecasts, driving alignment on the state of the Upstart platform.
• Shape Strategic Influence: Drive impactful decisions within Upstart’s credit platform and the investor/lending community by identifying opportunities, evaluating risks, and leveraging deep insights

What we’re looking for:

Minimum qualifications:

• Industry Experience: Over 6 years of professional growth and proven success in the technology and financial sectors, showcasing a deep understanding of industry dynamics and innovation.
• Analytical Expertise: Strong background in credit analytics, valuation, and quantitative financial model development, with hands-on proficiency in Python, R, and SQL for data-driven decision-making.
• Data-Driven Decision-Making: Expertise in working with large datasets, data modeling, and building robust data pipelines, utilizing tools like Databricks, DBT, Looker, Snowflake, and Redshift to deliver actionable insights.

Preferred qualifications:

• Proven Cross-Functional Collaboration: Exceptional track record of building strong partnerships with cross-functional teams, particularly in Finance, Product, Data Engineering, and Machine Learning, to align on strategy and drive impactful outcomes.
• Executive-Level Storytelling: Skilled at translating complex business and performance insights into compelling, executive-ready narratives, using data visualization tools like Tableau, PowerBI, or Looker to influence and drive strategic decisions at the C-suite level.