Job Description
The challenges business intelligence engineers solve for at Amazon are big and affect millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years. How often can you say that your work changes the world? At Amazon, you ll say it often. Join us and define tomorrow.
At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the world s most beloved brands customer obsession is part of our company DNA. The Amazon EU Student Programs Team are looking for ambitious students to join us as interns at the heart of our core consumer business! Internships are flexible in length to fit in with your university s placement scheme. Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
Recognize and adopt best practices in reporting and analysis: 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 (whether fully formed or exploratory) 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 and seek to deliver business value
Proactively and continually, improve your level of knowledge about Amazon s business and relevant data resources 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
Experience with data visualization using Tableau, Quicksight, or similar tools
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).
Experience with scripting language (e.g., Python, Java, or R) Masters degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad
Keyskills:
Microstrategy
NoSQL
Data modeling
Analytical
Test design
data visualization
Oracle
Business intelligence
Analytics
Python