Staff Data Analyst, Servicing

Upstart

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $157,000–$217,500 / yr
Posted: 61 days ago
Closes: Sep 1, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $187k

$97k most similar roles pay here $230k

This role pays more than 68% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $187k versus about $162k 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 40 open roles on FindRole.

Listed pay typically runs $177,200–$245,400 across 40 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Staff Data Analyst, Servicing

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As a Staff Data Analyst on Upstart’s Servicing Analytics team, you will work closely with product management, operations, engineering, and ML teams to drive data-driven decision-making for recoveries and collections strategies. Your daily responsibilities include conducting in-depth analyses, building business intelligence pipelines, designing A/B tests, and creating executive-level presentations to communicate findings and strategic recommendations. You will also collaborate with analytics and software engineers to enhance servicing data capabilities, ensuring timely insights as the business grows. The role requires proficiency in SQL, Python, or R, experience with tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode, and a strong background in payments, product, or operations analytics. Ideal candidates have an analytical track record in technology and finance, particularly in consumer lending and post-origination servicing, and the ability to mentor junior team members while fostering excellence in data and analytics.

Skills

SQL Python R Databricks DBT Looker Snowflake Redshift Tableau Mode A/B testing Data modeling Data pipelines

What you'll do

Lead the development of analytical capabilities to support servicing initiatives.
Create executive-level presentations to communicate findings and strategic recommendations.
Design experiments and conduct quantitative analysis for user interaction testing.
Collaborate with engineering teams to enhance data infrastructure and efficiency.
Develop and maintain business intelligence tools for reporting and decision-making.
Mentor junior team members and foster a culture of excellence in analytics.

What we're looking for

8+ years of experience in senior analytical roles within technology and finance.
Strong background in payments, product, or operations analytics with proficiency in SQL, Python, and R.
Experience working with large datasets, unstructured data, and data modeling using tools like Databricks, DBT, Snowflake, Redshift.
Degree in Economics, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field.
Expertise in conducting A/B tests and deriving actionable insights from complex analyses.
Ability to craft executive-ready narratives and influence decision-making at the VP level.

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