Finance Transformation Intern (Summer 2026)

Reposted 2 Days Ago
Hiring Remotely in United States
Remote
3K-3K Annually
Internship
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working.
The Role
Support finance transformation projects by optimizing processes through automation and analytics. Collaborate with cross-functional teams and contribute to an AI use case library.
Summary Generated by Built In
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

Top Skills

Ai-Enabled Tools
Alteryx
Data Analytics Tools
Power BI
Presentation Tools
Productivity Tools
Spreadsheet Tools
Tableau

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The Company
HQ: San Francisco, CA
2,500 Employees
Year Founded: 2007

What We Do

We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the flexibility of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself—Dropbox is ready for you.

Why Work With Us

We believe people do their best work when empowered with autonomy and harmony, and we understand there’s no substitute for human connection. Our Virtual First model combines the flexibility of remote work with the power of in-person collaboration to create the best of both worlds: a distributed workplace, anchored in community.

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Employees work remotely.

While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.

Typical time on-site: None
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