This full-time, 12-week internship is offered for May-August 2026 (Hybrid).
As a Financial Planning and Analysis (FP&A) Intern, you will collaborate with key business partners across the organization on financial modeling, cadenced financial reporting, data visualizations, dashboarding, and other ad hoc reporting as needed. To do so, you will perform variance, trend, profitability, and competitor analyses with a focus on identifying key drivers, root causes, and business implications. You will be expected to produce analyses and financial models that are logically structured, clearly documented, and auditable, with assumptions explicitly stated, and outputs tied back to source data and financial statements. Work produced in this role is expected to meet professional FP&A standards and be suitable to support senior finance leadership to make data-driven decisions.
What Success Looks Like
· Financial models are cleanly structured, well-documented, and easy for others to understand and maintain
· Analyses clearly explain what changed, why it changed, and why it matters
· Outputs require minimal rework and can be confidently used in management discussions
Requirements
Minimum Requirements
· Current Junior/ Senior planning on graduating Spring 2026 – Spring 2027 pursuing a BA/BS in Finance, Economics, Data Analytics, Accounting, or Statistics
· Strong financial modeling skills in Excel / Google Sheets
· Completed relevant coursework in accounting, corporate finance, economics, strategy, analytics, or business
· Exceptional communication skills (both written and verbal)
· Demonstrated attention to detail and commitment to accuracy, validation, and continuous improvement of models and analyses
· Intellectual curiosity fueled by a proactive approach to continuously improve
· Previous internship or comparable experience in a business capacity
Preferred Requirements
· Advanced financial modeling skills, demonstrated by the ability to independently design and maintain multi-period, driver-based models using complex formulas
· Experience creating clear, concise presentations (PowerPoint / Google Slides) that communicate insights, drivers, and implications to finance and non-finance stakeholders
· Experience or coursework with OLAP databases, financial systems, or large structured datasets, including an understanding of how data flows from source systems into reporting and models
· Experience or coursework with data visualization tools (Tableau / PowerBI / Looker)