Analytics

***This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026***

What does it mean to be in Analytics at GLS?

GLS is a highly analytic-driven company whose business model of providing auto loans to consumers through dealership partners has greatly thrived because of the great work our Analysts do. As an Analyst at GLS, you will work on solving important problems by deploying great critical thinking, education-based skill sets you’ve worked hard to obtain, and your demonstrated ability to learn new ideas and domains and turn knowledge into applied solutions.

Analysts play various roles across our company, taking on a variety of assignments within GLS business and operational areas. You will interact with team members both within your own area and cross-functionally, learning how the business is run and how to drive improvements, while gaining solid exposure to senior management.

The day-to-day activities will vary based on the group but could include the following:

• Business Analysts in Credit Risk are responsible for analyzing and improving all aspects of the application processing, automated underwriting, and the pricing decision cycle within a highly competitive marketplace.
• Business Analysts apply their data analytics and business acumen to support data-driven business decisions. They do this by leveraging multiple internal and external data sources, including both quantitative and qualitative data, and applying a broad range of skills such as visual analytics, estimation and simulation procedures, competitive analysis, etc.
• Business Analysts are often asking and analytically answering questions such as:
• What type of change is needed to optimize profit, or drive more volume?
• How can we better understand the impacts of the changes we’ve made in the past?
• What new product features and offerings will be more compelling to our dealer-partners?
• What insights can we gain from our competitors? 
• What KPI’s should be developed?
• What are those KPI trends telling us?

• Bachelor’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Information Technology, or a related field required
• Proficient computer skills and ability to quickly learn new computer applications as required
• Working knowledge of SQL and/or Python preferred
• Strong written and verbal communication skills with the ability to present ideas in a cohesive business-focused and user-friendly language
• Internally motivated with a demonstrated ability to take initiative, identify needs, make recommendations for improvement, see recommendations through implementation, and evaluate improvements for effectiveness 
• Exceptional interpersonal skills: friendly and tactful with the ability to influence others, effectively manage conflict, exercise sound judgment, effectively manage highly sensitive and confidential information, interact at all levels within the organization, and build cross-functional partnerships across the business

• This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, days and hours of work are Monday through Friday between the hours of 8:30am-6:00pm.
• Regular, predictable attendance is required, including overtime hours as business demands dictate
• Evening and weekend work may be required as job duties demand
• The position does not require travel
• Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity
• Remain in a stationary position up to 100% of the workday
• Constantly operate a computer and other standard office equipment