Data Analyst, Servicing

About Upstart

At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.

Upstart’s Servicing Analytics team plays a critical role of providing analytical capability for Upstart's servicing functions to enable data-driven decision making. We leverage our analytical and technical skills to support our partners with a multitude of services.

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in influencing Upstart’s success. Partnering closely with our Servicing product management, operations, engineering, and ML teams, you’ll work directly with key stakeholders, helping drive understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our recoveries and collections strategy. You’ll contribute to key areas such as identifying areas of opportunity via business reviews with leaders and product experiments, and driving operational efficiency.

This role involves conducting in-depth analyses, building business intelligence pipelines, designing A/B tests, and collaborating with cross‑functional teams to drive impacts.

Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements.

Create regular executive level presentations to communicate findings and strategic recommendations.

Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities.

Collaborate with analytics engineering and software engineering to continuously up‑level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights.

Develop and maintain business intelligence tools to support reporting and decision‑making.

Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation.

• 8+ years work experience in increasingly senior analytical roles in technology and finance industry
• Strong background in payments, product, or operations analytics, with hands‑on proficiency in SQL, Python and/or R
• Exceptional track record of deriving actionable insights from analysis and analytical storytelling
• Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode
• Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem‑solving skills essential for success

• Strong analytical and quantitative background with experience in conducting and evaluating A/B tests, ideally in Financial and/or Operational related fields
• Expertise in consumer lending, and knowledge of post origination servicing and/or operations
• Skilled at crafting executive‑ready narratives around complex business topics and successfully influencing VP+ decision making
• Demonstrated ability to work collaboratively and in deep partnership with cross‑functional teams
• Demonstrated ability to balance multiple work streams and priorities; experience influencing up and cross‑functionally to maximize positive impact to the organization
• Experience in coaching and mentoring junior team members on technical subjects

Remote

As a digital first company, the majority of your work can be accomplished remotely. Employees are encouraged to spend high quality time in‑person collaborating via regular onsites. The in‑person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2‑4 consecutive days at a time.

United States | Remote – Anticipated Base Salary…