BI Engineer Intern: Build Data Solutions & Insights

Amazon Inc.; Seattle (WA); Presencial; USD 74.000 - 100.000; Jornada completa

Descripción de la vacante

Amazon is seeking a Business Intelligence Engineer Internship for 2027 in the United States, based in Seattle. You will work on BI solutions, including data sets, dashboards, and analyses, collaborating with engineers and product teams.

The program emphasizes hands-on learning, mentorship, and delivering impact on real-world projects. You will build and optimize data artifacts, apply statistical methods, and contribute to data-driven decisions while balancing academic commitments and internship

Formación

• Pursuing a Bachelor’s degree or higher in a technical field (e.g., statistics, CS, IT)
• Strong SQL querying and data modeling capabilities
• Experience with BI tools to build dashboards and analyses
• Excellent communication and problem-solving skills

Responsabilidades

• Build BI solutions: data sets, queries, dashboards, analyses to answer business questions
• Deliver on defined requirements with end-to-end ownership
• Create and populate data structures using schema definitions
• Write maintainable code and automate manual processes where possible
• Use BI visualization tools to deliver actionable insights to stakeholders
• Troubleshoot data, analyses, and code and propose root-cause solutions

Conocimientos

SQL

Data modeling

Analytical skills

Problem solving

Communication

Educación

Bachelor's degree student in statistics / computer science / information systems

Herramientas

Excel

Tableau

PowerBI

QuickSight

Descripción del empleo

Amazon is seeking a Business Intelligence Engineer Internship for 2027 in the United States, based in Seattle. You will work on BI solutions, including data sets, dashboards, and analyses, collaborating with engineers and product teams.

The program emphasizes hands-on learning, mentorship, and delivering impact on real-world projects. You will build and optimize data artifacts, apply statistical methods, and contribute to data-driven decisions while balancing academic commitments and internship