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FP&A Intern (Summer 2027)

Neighbor

Lehi, UTFresher16h agovia Lever

About the Role

As an FP&A Intern, you will work on financial models used by leadership. Responsibilities include assisting with the annual plan, quarterly forecasts, and long-range models. You will present your work to senior leadership. The internship offers a path to a full-time role, with strong performers receiving an offer after graduation.

The role involves analyzing marketplace economics, including supply and demand growth by market, take rate, and cost to acquire a host or renter. By the end of the summer, you will be responsible for expense forecasting for the entire business.

Key Responsibilities

  • Build and maintain models for forecasts and long-range plans.
  • Track results against the plan monthly and explain variances.
  • Model marketplace economics such as supply and demand growth by market, take rate, and CAC payback.
  • Develop key budget assumptions with business partners during annual and quarterly planning.
  • Extract data from BI and accounting tools to address leadership questions.
  • Translate complex analysis into clear conclusions for presentation to the team and management.
  • Assist in preparing financial materials for quarterly board meetings.
  • Research industry trends and recommend opportunities.

Qualifications

  • Currently pursuing a Bachelor’s degree in Accounting, Finance, Economics, Business, or a related field, graduating by May 2028.
  • Strong Excel skills.
  • Coursework or project experience in building financial models or forecasts.
  • Ability to work on-site at the Lehi, UT headquarters for the full internship duration.
  • Availability to start between April and June 2027 and complete a 12-week internship.
  • Availability to start full-time within 12 months of internship completion.
  • Desire to be a full team member at a top-percentile startup.

Preferred Qualifications:

  • Prior internship, case competition, or work experience in finance.
  • Familiarity with Superset, Tableau, Netsuite, Looker, or SQL.
  • PowerPoint experience.
  • Coursework in statistics.
  • Comfort using AI tools (ChatGPT, Claude, etc.) for analysis speed-up, with a habit of verifying their outputs.

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