Finance Transformation Intern (Summer 2026)

Role Description We are seeking a highly motivated and analytical Finance Transformation Intern to join our team for the Summer 2026 internship program. This role offers hands-on experience working at the intersection of finance, data, systems, and process improvement, with additional exposure to cross-functional and company-wide transformation initiatives, including AI-enabled use cases.

As a Finance Transformation Intern, you will contribute to high-impact projects focused on improving financial processes, automation, analytics, and tooling across the Finance organization, while also supporting the development of a company-wide AI use case library in partnership with teams beyond Finance (e.g., Operations, Legal, Sales etc).

Through this experience, you will: Gain practical exposure to finance and enterprise transformation initiatives within a fast-paced, technology-driven company. Partner with Finance, Accounting, and cross-functional teams to support process optimization, automation, analytics, and responsible AI adoption. Learn how organizations redesign workflows, implement new tools, and scale AI-enabled solutions across functions.

Develop foundational skills in process mapping, analytics, systems thinking, documentation, and change management. Build strong relationships through mentorship, collaboration, and career guidance from experienced finance, cross-functional, and transformation leaders. Establish a solid foundation for careers in finance transformation, business operations, analytics, finance systems, or AI-enabled operations.

Responsibilities

Support finance and cross-functional transformation projects by documenting and analyzing existing finance and business processes. Assist in identifying opportunities to improve efficiency through automation, analytics, and responsible use of AI-enabled tools across Finance and other business functions. Contribute to small-scale AI and automation initiatives, including testing tools, validating outputs, and documenting use cases and workflows.

Contribute to the build and maintenance of a company-wide AI use case library. Support analysis, documentation, and presentation materials for ongoing finance and enterprise transformation initiatives. Participate in team meetings and cross-functional working sessions to gain exposure to how teams adopt new tools and ways of working.

Requirements

Currently pursuing a Bachelor’s degree in Finance, Accounting, Business, Economics, Information Systems, Data Analytics, General Science or a related field, with an expected graduation date in 2027 or later. Curious, proactive, and eager to learn, with a willingness to take initiative in ambiguous and evolving environments.

Strong analytical and problem-solving skills, with the ability to break down processes and identify improvement opportunities. Clear and concise written and verbal communication skills, with strong attention to detail. Ability to manage multiple priorities and deliver high-quality work in a fast-paced setting. Proficiency in spreadsheet, presentation, and productivity tools commonly used in business environments, as well as familiarity with AI-enabled productivity and analysis tools (such as AI assistants e.g. ChatGPT, Gemini etc).

Experience with data analytics or automation tools is a plus. Authorized to work in the United States without sponsorship.

Preferred Qualifications

Demonstrated curiosity and interest in how business teams use technology, data, automation, or AI to improve how work gets done. Exposure to analytics, automation, or low-code tools (e.g. Alteryx, Tableau, PowerBI) through coursework, internships, or personal projects. Strong communication and interpersonal skills, with the ability to explain ideas clearly in writing and in group settings.

Self-starter mindset with the ability to operate effectively in a fast-paced, evolving environment. Strong organizational skills, including the ability to track multiple tasks and follow through on deliverables.

Compensation

US Pay Range$3,000—$3,000 USD

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