This role pays more than
65%
of similar roles. Most pay
$126,800–$214,000
— the shaded band above.
At the midpoint, this role pays about
$187k
versus about
$170k
for comparable roles.
Based on 240 similar postings.
Employer
About Upstart
Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.
Upstart currently has
73 open roles
on FindRole.
Listed pay typically runs
$166,900–$230,450
across 72 roles with salary data.
Staff Data Analyst, Servicing joins the Servicing Analytics team to provide analytical capabilities for servicing functions and drive data-driven decision making. This role involves partnering with product management, operations, engineering, and machine learning teams to optimize recoveries and collections strategies. You will build business intelligence pipelines, design A/B tests, conduct quantitative analyses, and create executive-level presentations to communicate strategic recommendations. The position requires proficiency in SQL, Python, and R, along with experience managing large datasets and data modeling using tools such as Databricks, DBT, Looker, Snowflake, Redshift, Tableau, and Mode. You will also mentor junior team members while fostering a culture of excellence. This role addresses the technical and business challenges of post-origination servicing and operations within the consumer lending domain to improve operational efficiency and enhance data capabilities for the organization.
What does a Data Analyst earn?
Median $127950 from 39 postings across 21 companies.
Develop analytical capabilities to support servicing initiatives and drive operational efficiency improvements.
Create executive-level presentations to communicate findings and strategic recommendations to senior leadership.
Design experiments and conduct quantitative analysis to test hypotheses regarding user interactions with servicing initiatives.
Build and maintain business intelligence tools and pipelines to support data-driven decision-making.
Collaborate with engineering teams to improve data infrastructure and accelerate the time to insights.
Mentor junior team members while fostering a culture of excellence in data and analytics.
What we're looking for
8+ years of experience in increasingly senior analytical roles within the technology and finance industries.
Proficiency in SQL, Python, and/or R for payments, product, or operations analytics.
Experience working with large datasets, unstructured data, data modeling, and pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, and Mode.
Proven track record of deriving actionable insights and providing analytical storytelling.
Degree in Economics, Statistics, Mathematics, Engineering, Data Science, or another quantitative field.
Experience conducting and evaluating A/B tests, preferably in financial or operational contexts.
Expertise in consumer lending and knowledge of post-origination servicing or operations.
Ability to craft executive-ready narratives and mentor junior team members on technical subjects.