Staff Data Analyst
Operations Analytics
Confirmed live in the last 24 hours
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.
AI & Machine Learning
Data & Analytics
Financial Services

Company Stage

Series D

Total Funding

$244.1M

Founded

2012

Headquarters

San Mateo, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-11%

2 year growth

30%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
R
Redshift
Snowflake
SQL
Tableau
Python
Looker
CategoriesNew
Data & Analytics
Requirements
  • Minimum qualifications:
  • 5+ years work experience in increasingly senior analytical roles in technology and finance industry
  • Experience in credit, product or operations analytics, proficient in Python / R, GSheet / Excel, SQL
  • Experience working with large datasets, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode
  • Experience deriving actionable insights from analysis and analytical storytelling
  • Degree in Economics, Mathematics, Engineering, Data Science or other quantitative fields
  • Preferred qualifications:
  • Experience in coaching and mentoring junior team members on technical subjects
  • Strong experience conducting and evaluating A/B tests, ideally in Financial and/or Operational related fields
  • Ability to craft executive-ready narratives around complex business or operational topics and successfully influence VP+ decision making
  • Demonstrated ability to work collaboratively and in deep partnership with cross-functional teams
  • Demonstrated ability to balance multiple workstreams and priorities; experience influencing up and cross functionally to maximize positive impact to the organization
  • Experience in consumer lending, and knowledge of pre and post origination operations
Responsibilities
  • Lead and develop analytical capabilities and drive in-depth analyses on servicing and operations, including loss mitigation, fraud prevention, customer experience, and operations efficiency, etc
  • Collaborate with Product and Operations leaders to shape product, process and tech roadmaps, administer A/B tests, monitor results and generate data driven recommendations
  • Build data and analytical foundation for servicing and operations, including data pipelines, automated reporting and A/B testing infrastructure, along with product and engineering teams
  • Mentor junior team members on best practices and foster a center of excellence on data, analytics and operations