Level

Amazon

2027 MBA Finance Leadership Development Program (FLDP) Internship

AI in this role

Are you a MBA candidate ready to transform the world of finance? Join our Finance Leadership Development Program (FLDP) internship and become a strategic partner driving business solutions at Amazon. You'll dive deep into complex financial challenges, leverage data analytics, and get insight into the full-time Finance Leadership Development Program.


Key job responsibilities
- Develop comprehensive financial models and analyses that drive strategic business decisions
- Collaborate cross-functionally to transform innovative ideas into executable strategies
- Conduct deep-dive data investigations to uncover critical business insights
- Support financial reporting and performance evaluation processes
- Contribute to strategic roadmaps that enhance organizational efficiency

A day in the life
As an FLDP intern, you will:
- Collaborate with dynamic teams across Amazon's diverse business areas
- Develop comprehensive financial strategies that impact global operations
- Analyze complex data sets to uncover insights that drive strategic decisions
- Engage directly with senior leadership and present your innovative recommendations

About the team
The FLDP is a two-year program designed to develop high-potential MBA candidates. This occurs through providing FLDP participants with a broad understanding of the business, helping them build a robust professional network, and preparing them to be leaders in the organization.

FLDP participants spend Year 1 ramping to Amazon and learning through on-the-job experiences as well as technical training. In Year 2, the focus will shift to leadership skill training through mentorship, soft skill training, and team rotation.

Important Notes:
- All FLDP interns will be in Seattle, WA
- Internship start dates will be in May/June 2027 for a 12-week consecutive internship
- For returning full-time offers: Specific role and team placement will be based on business need and most full-time roles will be in Seattle, WA or Arlington, VA

Basic qualifications

- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Currently enrolled in an MBA program with a graduation conferral date between December 1, 2027 and June 30, 2028

Preferred qualifications

- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- 3+ years of professional work (non-internship) experience
- Can relocate to where the internship is based
- Experience in finance or a related analytical field
- Experience with AI/ML technologies
- 3+ years of relevant full-time industry or military experience, which occurred between the conferral date from your undergraduate program and prior to starting your MBA or master’s program

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.



USA, WA, Seattle - 95,400.00 - 163,200.00 USD annually

How we score this

2027 MBA Finance Leadership Development Program (FLDP) Internship at Amazon scores 26 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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