Business Analyst Intern 2026

DESCRIPTION

At Amazon we are seeking to find passionate and analytical interns to join our Operations & Retail team, helping us maintain our position as Earth's most customer-centric company. This role is perfect for individuals who thrive on analyzing data, identifying trends, and implementing solutions that drive business efficiency. You'll gain hands-on experience in our dynamic operational environment, working with dedicated teams to challenge the status quo and develop innovative solutions. We value fresh perspectives and encourage flexibility in approaching complex challenges. This opportunity offers real-world experience in business analysis, meaningful project ownership, and direct mentorship from industry leaders within our culture of innovation.

Note: You must have the right to work in the country of employment by the start date.

Key job responsibilities
You will test your analytical and technical skills. This internship is a learning opportunity, where you will put your skills and bias for action to the test, to complete a project that will support your own growth in the Business Analysis function, as well as the team and our customers success.
• Partner with multiple teams across different geographies, building collaborative relationships while learning from experienced professionals in a global business environment.
• Take ownership of data analysis projects with guidance from mentors, turning data insights into actionable business recommendations.
• Identify and propose process improvement opportunities, working with the team to develop streamlined solutions that enhance business efficiency.
• Lead root cause analyses for assigned projects, collaborating with team members to solve real business challenges and implement solutions.
• Support the development of business cases for new programs, gaining hands-on experience in strategic planning and project development.
• Own the maintenance and improvement of specific performance metrics dashboards, while learning advanced visualization techniques from experienced analysts.
• Develop into a valued team member by bringing fresh perspectives and innovative ideas, while building foundation skills in business analysis.

About the team
Intern Community:

As an Amazon Intern, you'll be part of a vibrant, supportive community that empowers your growth and development. You'll collaborate with interns from around the world, networking and participating in social events to broaden your perspectives. You can also join specialized groups focused on areas like sustainability to explore your diverse interests.

Support:
The internship program provides a robust support system, including weekly intern office hours, dedicated IT and HR support, and a program team committed to your success. This ensures you have the guidance and assistance needed to thrive.


Learning Sessions:
Exclusive learning sessions will further enhance your skills, granting you access to Amazon's cutting-edge learning platforms and the expertise of industry leaders. These structured development opportunities will prepare you for the next step in your career.


Opportunities:
Upon successful completion of the internship, you may be considered for a graduate role or a second internship, allowing you to continue your journey with Amazon. Additionally, you'll enjoy a competitive monthly salary, relocation support, and access to a range of employee benefits.

Internship Start Dates across the year:
We are hiring interns with flexible start date from January through July.

BASIC QUALIFICATIONS

- Knowledge of SQL
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- Work 40 hours a week throughout the course of a 6 months summer internship
- Speak, write, and read fluently in English
- Currently in your penultimate or final year and working towards a university degree in Business Analytics, Finance, Accounting, Economics, Statistics, Mathematics, Computer Science, Information Systems, Engineering, Supply Chain, Logistics or a similar discipline