Credit Acceptance has been named to Fortune magazine’s annual “100 Best Companies to Work For” list for 11 years, ranking #34 in 2025. We’ve also been named to IDG's Computerworld Best Places to Work in IT-Midsize category for the past six years. Based on 2024 survey data, 93% of our team members believe Credit Acceptance is a Great Place to Work (GPTW).

At Credit Acceptance, we are passionate about what we do. Our team members are intelligent, motivated, compassionate people who work hard and know how to have fun. We offer a strong work-life balance with many great benefits that start on day one. We focus first and foremost on striving to make our Company as valuable as possible, because we know it is the core of our success. Our team members are motivated by their desire to “Change Lives,” as well as by their fellow colleagues, Company leaders, competitive compensation, and career advancement opportunities. By driving possibility, we empower our team and customers to achieve their dreams and reach new heights.

The purpose of the Analyst, Analytics – Strategy position is to perform analysis on loan servicing strategies, business policies, processes, and performance champion/challenger tests.

Outcomes and Activities:

This position will work from home; occasional planned travel to our Southfield, Michigan office may be required. However, this position is permitted to work at our Southfield, Michigan office if requested by the team member.

Actively monitor the performance of strategies in production

Analyze data to drive better business decisions

Develop complex programming to extract and manipulate data

Develop, monitor, and maintain complex strategies with the goal of optimizing high volume decisions to add intrinsic value to Credit Acceptance

Develop and produce reports to measure the performance of champion/challenger tests, policies, and processes

Perform analysis to solve business problems and drive better decisions

Translate high level business goals into the tasks and technical specifications needed to accomplish the goal

Requirements:

Bachelor’s degree (Computer Science, Economics, Mathematics, Statistics, Business Analytics, etc. - preferred)

2+ years’ experience in an academic or professional setting using one or more of the following analytical tools SAS, SQL, Python or R

2+ years’ experience in an analytics setting, or a combination of higher education and experience

Preferred:

Graduate degree (Computer Science, Economics, Mathematics, Statistics, Business Analytics)

Experience monitoring credit scorecards or collection scores

Experience testing system implementations

Knowledge of loan servicing functions

Knowledge of credit risk management

Experience with data analysis

Experience running and creating reports in an analytical tool or in a business intelligence setting

Ability to write, debug and optimize Python code