MIT LGO June Fellowship @ Amazon

DESCRIPTION

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better.

Key job responsibilities
A key component of the role is to identify process and system improvement opportunities by monitoring existent metrics, analyzing data and collaborating with internal teams. In addition, design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Lastly, enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.

Preferred applicants are majoring in business, computer, data engineering, economics, finance, engineering, mathematics, machine learning, science, statistics, and symbolic systems. In addition, basic to advanced knowledge of TABLEAU/Power Query, intermediate (e.g., vlookup) / advanced Excel skills (e.g., Write/edit VBA), and a basic to advanced knowledge of SQL (all join types, group by, order by, calculated columns)

A day in the life
As you launch your career as a business analyst at Amazon, you will focus on improving the success within a business function by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve the customer’s experience. We are focused on your success and want to build future leaders within Amazon.

BASIC QUALIFICATIONS

- Are 18 years of age or older

- Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2026 and September 30, 2026.

- 2+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 2+ years of military work experience prior to starting your MBA or master’s program

PREFERRED QUALIFICATIONS

- Basic to advanced knowledge of TABLEAU/Power Query, intermediate (e.g., vlookup) / advanced Excel skills (e.g., Write/edit VBA), and a basic to advanced knowledge of SQL (all join types, group by, order by, calculated columns)
- Preferred majors are business, computer, data engineering, economics, finance, engineering, mathematics, machine learning, science, statistics, and symbolic systems
- Strong academic, leadership, and/or extracurricular record
- Effective interpersonal, written, and oral communication with a keen focus on delivering business results
- Demonstrated track record in using data and metrics to make decisions and build scalable solutions
- Ability to influence across all levels of an organization
- Ability to act strategically and make decisions under ambiguity
- Strong organizational and time management skills

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $32.16/hr in our lowest geographic market up to $68.80/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

MIT LGO June Fellowship

Amazon

Compensation Overview

DESCRIPTION

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

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