Business Operations • Intern

Who you are

You are pursuing a Bachelor's Degree in an analytical field such as Economics, Engineering, Mathematics, Statistics, or Computer Science. You have a strong proficiency in analytical tools and are comfortable using SQL and ETL processes to manipulate data. Your experience with Microsoft Excel is extensive, allowing you to perform complex data analyses efficiently. You are familiar with data visualization tools like QuickSight and Tableau, enabling you to create insightful dashboards that meet business needs. You possess basic knowledge of Python, which aids in your data analysis tasks, and you have a good command of English for effective communication.

You are open-minded, creative, and proactive in your thinking, always eager to learn new things and dive deeper into data to identify areas for improvement. Your curiosity drives you to explore data and support the development of automated data pipelines. You understand the concepts of data warehousing and data modeling, which helps you in building new data warehouse tables as needed.

What you'll do

In this role, you will update KPI metrics and monitor their performance, providing essential data support for team operations and projects. You will assist in the deep dive analysis of KPI performance by sharing raw data and conducting simple analyses. Your responsibilities will include diving into data to identify improvement areas and supporting the development of automated data pipelines. You will design, develop, and maintain scaled, automated dashboards that will support various business needs, ensuring that stakeholders have access to the insights they require for decision-making.

What we offer

At Amazon, you will be part of an inclusive culture that empowers you to deliver the best results for our customers. You will gain valuable experience working in a fast-paced environment, collaborating with talented professionals who are committed to innovation and excellence. This internship will provide you with the opportunity to enhance your analytical skills and gain hands-on experience in data analysis and business operations. You will also have the chance to learn from experienced mentors and contribute to meaningful projects that impact the business.