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Do you enjoy translating data into actionable insights? Are you excited by the opportunity to troubleshoot features and products at the world's most customer-centric company? Are you passionate about mining data, developing models, using statistical and visualization techniques, and helping leaders make data-driven decisions? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet?

If this describes you, consider joining us as an intern in the summer of 2024. Amazon is looking for a business intelligence engineer intern to join one of our many lines of business. Amazon interns have the opportunity to work alongside the industry's brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission-critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.

In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real-world setting.

Amazon internships are full-time (40 hours/week) for 12 consecutive weeks with start dates in May - July 2024. Applicants should have at a minimum one quarter/semester remaining after their internship concludes.

We're on the lookout for the curious, those who think big and want to define the world of tomorrow.

At Amazon, you will grow into the high impact, visionary person you know you're ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.

How often can you say that your work changes the world? At Amazon, you'll say it often. Join us and define tomorrow."

Key job responsibilities

"As a business intelligence engineer intern, you will/may:

• Build small- to mid-size business intelligence (BI) solutions - data sets, queries, reports, dashboards, analyses - or components of larger solutions to answer business questions with data

• Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule

• Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)

• Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible

• Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders

• Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals

• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions"

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

- "Currently enrolled in or will receive a Bachelor's Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with an expected conferral date between August 2024 - August 2026

- • Experience with data querying or modeling with SQL

- • Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)

- • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)"

PREFERRED QUALIFICATIONS

- "• Enrolled in a Master's Degree or advanced technical degree

- • Previous technical internship(s), if applicable

- • Experience with scripting language (e.g., Python, Java, or R)

- • Knowledge of data modeling and data pipeline design

- • Experience with relational and star schema data modeling concepts

- • Application of basic statistical methods (e.g., regression) for difficult business problems

- • Knowledge of how to improve code quality and optimizes BI processes (e.g., speed, cost, reliability)

- • Ability to deal with ambiguity in a fast-paced environment

- • Excellent verbal/written communication skills and data presentation skills

- • Strong analytical 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $31.63/hr in our lowest geographic market up to $79.62/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. Applicants should apply via our internal or external career site.

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