BI Intern: Build Data Pipelines & Insightful Dashboards

Amazon

Greater London

On-site

GBP 12,000 - 18,000

Full time

8 days ago
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Job summary

Amazon is seeking ambitious interns for 3- or 12-month Business Intelligence Engineer Internships in London. You’ll grow into a high-impact, visionary professional solving complex problems and building data-driven solutions that affect millions of customers worldwide.

You’ll develop analytical solutions, design automated metrics, and write quality code to retrieve and analyze data. This role offers mentorship, networking, and potential graduate opportunities after completion.

Qualifications

  • Enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
  • Experience with programming languages such as Python, Java, C++
  • Experience with SQL

Responsibilities

  • Develop analytical solutions with high standards of data integrity and rigor
  • Write high-quality code to retrieve and analyze data
  • Design analyses and automated metrics that add business value
  • Analyze problems to understand root causes and broader context
  • Adopt best practices in reporting, analysis, and documentation
  • Understand data resources and when to use them
  • Develop analyses for business purposes, not just for analyses' sake
  • Align work with business objectives and deliver value
  • Continuously improve knowledge of Amazon’s data resources and business context

Skills

Python
Java
C++
SQL

Education

Bachelor's degree in Computer Science or related field

Job description

Amazon is seeking ambitious interns for 3- or 12-month Business Intelligence Engineer Internships in London. You’ll grow into a high-impact, visionary professional solving complex problems and building data-driven solutions that affect millions of customers worldwide.

You’ll develop analytical solutions, design automated metrics, and write quality code to retrieve and analyze data. This role offers mentorship, networking, and potential graduate opportunities after completion.

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