Are you ready to change Prime? Join our team of data professionals!
Are you somebody that likes to use big data to drive business decisions? Do you enjoy building data applications used worldwide by business leaders?
Do you want to be part of the data team which measures the pulse of Prime and drives change? If your answer is yes, join our team.
We are the analytical arm of Prime globally. We work with country leaders, product managers, marketing and finance to ensure Prime remains one of the most loved membership programs.
What is Prime? It’s a membership program including over 150 million members in more than 18 countries. Prime offers some of the best shopping and entertainment experiences with Amazon.
Prime members enjoy Prime FREE One-Day Shipping and Prime FREE Same-Day Delivery in more than 8,000 cities and towns, two-hour delivery with Prime Now in more than 30 major cities and unlimited Free Two-Day Shipping on more than 100 million items.
In addition, in the U.S., members enjoy unlimited access to award-winning movies and TV entertainment with Prime Video; unlimited access to Prime Music, Prime Reading, Amazon Photos, Twitch Prime;
early access to select Lightning Deals, Whole Foods Market discounts and more.
As part of the global Prime Analytics team, we build scalable data solutions to enable insight generation in addition to providing analytical support for flagship initiatives within Amazon.
Example data solutions include 1) campaign analyzer, a tool which allows business leaders to A / B test product launches and marketing campaigns and 2) variance analyzer, a tool which enables country leaders to examine the movement of any business KPI along multiple dimensions and determine rate / mix effects.
Recent analytical projects include impact measurement of 1 day shipping introduction, analysis of nation-wide brand campaigns and investigation of usage patterns to recommend products and campaigns to increase customer satisfaction.
As a Business Intelligence Engineer in this team, you will collaborate closely with Prime business leads, data engineers and data scientist to build scalable data solutions and analytical insight.
You will be comfortable evaluating business requirements and proposing data solution to solve business needs. As a successful candidate, you will be able to interact with both technical stakeholders, setting tech requirements for engineering team, as well as business stakeholder to collaborate on business requirements and project outcomes.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Knowledge of SQL and data warehousing concepts
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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