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About the Role
The Analyst, Analytics – Strategy position performs analysis on loan servicing strategies, business policies, processes, and performance champion/challenger tests. This role utilizes the latest technology to develop, monitor, and maintain complex practices that help optimize success, partnering with all business functions to support their success and make strategic decisions.
Responsibilities
- 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
- 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
- Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.
Skills
- Analytical skills
- Ability to extract and manipulate large data sets
- Communicate complex information
- Self-motivated
- Able to perform with minimal supervision
- Work well with others in a team environment
- Proactive
- Make recommendations
- Data analysis
- Writing, debugging and optimizing Python code
Location
- Work from home
- Southfield, Michigan
Work Type
- Remote
- Onsite
Experience Level
- 2+ years’ experience
Education Level
- Bachelor’s degree
- Graduate degree
Salary/Compensations
- $90,000 – $120,000 base salary + annual bonus plan
Benefits
- 401(K) match
- Adoption assistance
- Parental leave
- Tuition reimbursement
- Comprehensive medical/ dental/vision
About the Company
- Credit Acceptance is an award-winning company recognized both locally and nationally across multiple workplace categories.
- Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team.
- Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.
- Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success.
- Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance.
- We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions.
- We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!
Equal Opportunity
- Credit Acceptance is dedicated to providing a safe and inclusive working environment for all.
- As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce.
- All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.