Intern - Pricing Analytics & Product Development

About the role

We are looking for students who are ready to take on stimulating projects and gain exposure to a variety of industrial initiatives. Pricing Analytics is responsible for supporting a variety of critical areas related to pricing. This role will support the department with data management, analysis, and reporting for subvention (lease and/or loan products) in addition to dealer and/or company rewards/incentives. This position will interact with many other departments in the interest of achieving the overall company objectives.

Responsibilities

• Support Pricing department data management, analysis, and reporting for all North American loan and/or lease products.
• Support subvention partner invoicing process and data management (program, collateral, and credit data).
• Gather and analyze data to determine impact to business operations.
• Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results.
• Perform other duties as assigned.
• Conform with all company policies and procedures.

Qualifications

• Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Finance, Economics, Math, Data Analytics or other business related major with at least one semester remaining upon start of the internship.
• Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA.
• Senior classification preferred.
• Some proficiency in Excel preferred.
• Strong written and verbal communication skills required.
• This incumbent will be required to give presentations and communicate with business leaders.
• Strong analytical, quantitative, problem solving, and conceptual skills required.
• Must be detail oriented and able to prioritize tasks to meet deadlines.
• Must be able to work independently or in a team setting.
• Previous internships are considered a plus.

Skills

• Ability to use AI tools (e.g., Microsoft Copilot) to support daily work.
• Skills in evaluating AI outputs for accuracy, compliance, and bias.
• Experience integrating AI into workflows to improve efficiency or insights.
• Familiarity with AI-assisted research, summarization, and content generation.
• Understanding of responsible AI use, including ethics and data protection.

Benefits

• 11 weeks of work experience (May 26 – August 6, 2027).
• Executive and peer networking opportunities.
• Independent and team project experiences.
• Philanthropic activities.
• Career development.
• Opportunity to apply for full-time career positions.

Schedule

Flexible hybrid work environment, 3 days a week in office.