Staff Analyst
Product Analytics
Posted on 3/26/2024
Upstart

1,001-5,000 employees

AI lending marketplace connecting consumers to banks
Company Overview
Upstart, a leading AI lending marketplace, offers a unique work environment that emphasizes digital-first operations, allowing employees to work from anywhere in the U.S. The company's AI models and cloud applications provide a competitive edge by enabling lenders to approve more borrowers at lower rates, resulting in an 80% instant approval rate. Upstart's commitment to improving credit accessibility, demonstrated through their diverse loan offerings, positions them as an industry leader in the financial technology sector.
Data & Analytics
AI & Machine Learning
Financial Services

Company Stage

Series D

Total Funding

$244.1M

Founded

2012

Headquarters

San Mateo, California

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

5%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Communications
Data Science
SQL
Tableau
Data Analysis
CategoriesNew
Product Analytics
Product Strategy
Product
Requirements
  • Strong analytical and quantitative background with at least 6+ years professional experience
  • Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.)
  • Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field
  • Strong communication and analytical storytelling skills
  • Experience in technology, marketplace, fintech companies with knowledge of consumer financing
Responsibilities
  • 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