Join Amazon as a Business Intelligence Engineer Intern
Are you curious, innovative, and eager to define the world of tomorrow? At Amazon, you will have the opportunity to grow into a high-impact, visionary individual. Every day will present exciting new challenges, allowing you to develop new skills and achieve personal growth.
About the Role
As a Business Intelligence Engineer Intern at Amazon, you will be part of a team that uses cutting-edge technology to solve complex problems. You will have the chance to see the impact of your work first-hand, as you contribute to one of the most visited sites on the Internet.
Key Responsibilities
- Develop analytical solutions to business problems using the highest standards of analytical rigor and data integrity.
- Recognize and adopt best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation.
- Write high-quality code to retrieve and analyze data.
- Analyze and solve business problems at their root, stepping back to understand the broader context.
- Design pragmatic analyses and automated metrics that add value to your business area.
- Understand data resources and how, when, and what to use (and what not to use).
- Develop analyses for the business’ sake, not for analyses’ sake.
- Seek to understand the business objectives relevant to your area, and align your work to those objectives to deliver business value.
- Proactively and continually improve your knowledge about Amazon’s business and relevant data resources.
A Day in the Life
As a Business Intelligence Engineer, you will build data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business. You will tackle some of the most complex challenges in large-scale computing, working in small teams across the company to contribute to the e-commerce platform used by millions of people worldwide.
About the Team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status, and other requirements, some or all of the following benefits may be available to you as an intern:
- Competitive pay
- Impactful project and internship/role deliverables
- Hybrid working (team dependent)
- Networking opportunities with fellow interns
- Internship events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions
- Mentorship and career development
If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies.
Basic Qualifications
- Currently enrolled in a Bachelor’s or Master’s degree program in computer engineering, computer science, or a similar technical field.
- Availability to complete a 6-month internship working full-time.
- Advanced knowledge and/or experience using SQL.
- Experience with data querying or modeling with SQL, Excel.
- Experience with scripting languages (e.g., Python, Java, or R).
- Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools).
Preferred Qualifications
- Master’s or advanced technical degree.
- Experience with BI analytics/reporting/visualization tools.
- Experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets.
- Knowledge of algorithm design and complexity analysis.
- Ability to deal with ambiguity in a fast-paced environment.
- Excellent verbal/written communication skills and data presentation skills.
Commitment to Diversity
Amazon is committed to diversity, equity, and inclusion, leveraging unique perspectives to scale our impact and grow. We have 13 affinity groups, known as employee resource groups, which bring employees together across businesses and locations worldwide. These groups play an important role in building internal networks, advising Amazon business units, leading service projects, and reaching out to communities where Amazonians live and work.
Benefits Extracted with AI
- Competitive pay
- Impactful project and internship/role deliverables
- Hybrid working (team dependent)
- Networking opportunities with fellow interns
- Internship events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions
- Mentorship and career development
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