Logo of Huzzle

Business Intelligence Engineer Internship – 2024 (US)

image

Amazon

Jan 17, 2024

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Seattle

Requirements

  • 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 October 2024 – September 2027.
  • Experience with data querying or modeling with SQL.
  • Experience with building and maintaining 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.

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.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.