Internship, Finance at Eulerity | New York, New York | Rezi

Internship, Finance at Eulerity

Internship, Finance

Eulerity · New York, New York

1 months ago

Internship, Finance

Eulerity · New York, New York

2 months ago
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About the Role

Eulerity is seeking a detail-oriented intern to support financial operations in our New York office. This role involves direct work with the Controller on reconciliations, cash flow tracking, and learning AdTech financial workflows, offering an inside look at building financial systems in a high-growth startup.

Responsibilities

  • Support day-to-day accounting operations including AP/AR.
  • Ensure all financial data is accurate and up to date within accounting systems.
  • Actively manage and reconcile high-volume pass-through media costs.
  • Learn and apply the difference between gross vs. net revenue in an AdTech context.
  • Support the establishment of a disciplined month-end close process.
  • Gain exposure to building financial models that forecast growth scenarios.

Requirements

  • Pursuing a Finance MBA Degree.
  • Detail-oriented with an understanding of the impact of calculation errors in the media business.
  • Highly organized with the ability to manage multiple tasks.
  • Proactive and able to identify and address issues independently.
  • Proficient in or eager to master tools like Excel and QuickBooks Online (or Xero).
  • Ready to show up consistently and treat the role with seriousness.

Skills

  • Excel
  • QuickBooks Online
  • Xero
  • AP/AR
  • Reconciliation
  • Cash Flow Tracking
  • Financial Modeling

Location

  • New York, NY

Work Type

  • In-Person
  • Internship
  • Part-time

Experience Level

  • Internship

Education Level

  • Finance MBA Degree

Salary/Compensations

  • $17.00 – $20.00 / hour

Benefits

  • Real Finance Experience
  • Direct Mentorship
  • Immediate Impact

About the Company

  • Eulerity is building the future of AI-driven marketing automation, simplifying digital advertising for franchises and multi-location businesses using machine learning and automation.