Business Analyst

***This posting is to enter our campus recruiting and entry-level process for position offers being made for December 2026 or May 2027***   What does it mean to be a Business Analyst 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:

Credit Risk, Pricing, and Partnership Business Analysts

• 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?

What should you already have to be successful in this role?

• Bachelor’s degree in Statistics, Mathematics, Engineering, Data Science or Quantitative Finance
• 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