Finance Development Internship: Data-Driven Rotations

Socket.dev; Austin (TX); On-site; USD 25,000 - 36,000; Part time

Job summary

Apple offers a Finance FDP internship in the United States for students pursuing degrees in finance, data science, or related fields. Interns will gain hands-on experience in financial analysis, data modeling, and cross-functional collaboration within Apple Finance.

During the summer, interns will leverage Excel, SQL, and Tableau to develop reporting solutions, drive data-driven insights, and contribute to efficiency initiatives.

Qualifications

• Pursuing a Bachelor’s degree in Finance, Data Science, Math, Statistics, Business Administration, Economics, Accounting, or related field with an expected graduation date Winter 2027 or Spring 2028.
• Strong analytical and problem-solving skills with high proficiency in Excel; SQL or Python experience is a plus.
• Excellent verbal and written communication to articulate findings clearly and concisely.

Responsibilities

• Conduct in-depth financial analysis using advanced Excel functions, SQL, and Tableau.
• Develop and optimize data-driven reporting by building robust data models and automated solutions.
• Collaborate with cross-functional teams to present data-backed insights on critical business scenarios.
• Drive operational improvements by leveraging technical platforms to identify opportunities for efficiency and innovation.

Skills

Analytical skills

Excel proficiency

Communication skills

Self-starter

Education

Bachelor's degree in Finance, Data Science, Math, Statistics, Business Administration, Economics, or Accounting

Tools

Excel

SQL

Python

Tableau

Job description

Apple offers a Finance FDP internship in the United States for students pursuing degrees in finance, data science, or related fields. Interns will gain hands-on experience in financial analysis, data modeling, and cross-functional collaboration within Apple Finance.

During the summer, interns will leverage Excel, SQL, and Tableau to develop reporting solutions, drive data-driven insights, and contribute to efficiency initiatives.