Staff Analyst, Product Analytics

About Upstart

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than two-thirds of Upstart loans are approved instantly and are fully automated.

Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!

The Team: 

As a Staff Analyst on the Personal Loans team  at Upstart, you’ll be responsible for driving understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our Personal Loans product. You’ll partner with our Product Management, Engineering, Data Science, and Marketing teams to drive Upstart’s product innovation and growth. 

How you’ll make an impact:

• Partner cross-functionally with product and engineering leaders to set the product strategy and analytics roadmap for our Personal Loans product
• Effectively use analytics tools to understand user behavior, funnel performance and the outcome of our product efforts, and make proactive recommendations on how to grow effectively
• Develop appropriate analytical frameworks to drive better decision-making, such as cohort analysis, funnel analysis, A/B testing, segmentation, etc.
• Design and conduct quantitative analysis to test hypotheses about our users and the way they interact with our product, and collaborate with partners to prioritize the right problems and opportunities
• Collaborate with analytics engineering and software engineering to continuously uplevel our product data capabilities, making new data available as the business expands, and accelerate time to insights
• Coach and mentor product analysts on the team

What we’re looking for: 

Minimum qualifications:

• Strong analytical and quantitative background with at least 8+ years professional experience, preferably with meaningful experience in product analytics 
• Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.)
• Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative …