MBA Finance Intern: Strategic Analytics in Austin

Applied Materials; Austin (TX); On-site; USD 3,444,000 - 4,821,600; Full time

Benefits offered by this job

Bonus potential

Stock award program

Comprehensive benefits

Job summary

Applied Materials is seeking an MBA intern for the Summer 2027 program in our Austin, TX office. The internship will involve joining the Finance Planning and Analysis team to support analytics, budgeting, and decision-support activities across Worldwide Operations, supply chain, manufacturing and new product development.

Ideal candidates are pursuing an MBA with graduation planned for 2027 and 4–7 years of relevant Finance or Accounting experience, with strong analytical, quantitative, and

Qualifications

• MBA student with plan to graduate in 2027
• 4–7 years of work experience in Finance or Accounting preferred
• Strong analytical, quantitative, and problem-solving skills, including practical experience utilizing AI and Data Analytics to improve financial processes
• Proactive self-starter with ability to work independently and in teams; excellent interpersonal communication

Responsibilities

• Focus on one or more projects to help the finance organization drive executive decision making around key business issues
• Integrated into the finance team, supporting the business by improving process efficiency, scalability, and cost accounting across segments

Skills

Financial analysis

Data analytics

Quantitative skills

AI literacy

Team collaboration

Education

MBA student

Tools

AI tools

Data analytics tools

Job description

Applied Materials is seeking an MBA intern for the Summer 2027 program in our Austin, TX office. The internship will involve joining the Finance Planning and Analysis team to support analytics, budgeting, and decision-support activities across Worldwide Operations, supply chain, manufacturing and new product development.

Ideal candidates are pursuing an MBA with graduation planned for 2027 and 4–7 years of relevant Finance or Accounting experience, with strong analytical, quantitative, and