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Sr. Business Intelligence Engineer

Company: Amazon.com, Inc.
Location: Seattle
Posted on: June 13, 2021

Job Description:

Are you looking for a highly visible role working across multiple teams with the opportunity to have a significant impact? If so, then keep reading as this could be the role for you!

The Ordering department at Amazon forms the backbone of multiple commerce experiences like Alexa Shopping, Prime Now, Classic Retail, Amazon Fresh, etc. along with powering Physical Stores like Amazon Books, Amazon 4 Stars, Amazon Go, etc. to name a few. We run backbone systems that enable rich and low-latency experiences for the customer to interact with their cart, place orders, modify orders and eventually ensure the order is fulfilled. We run some of the largest hubs on planet earth with 100s - 1000s of dependencies, many of them being executed in real time as we place orders.

As a Business Intelligence Engineer in Ordering, you will operate at the apex of multiple advanced Amazon systems, getting global visibility of how Amazon functions and serves our customers. Your curious mind will enable the creation of solutions that drive ever-greater automation, scalability and optimization, removing cost and delivering speed of execution to thrill our customers. The impact of your work will be global, material and remarkable.

What you'll do:

As a successful Business Intelligence Engineer, you need to be voraciously curious about Amazon's operations and how data consumed and produced by our systems can be used to improve outcomes and lower costs. Your responsibility is to expose and measure the current performance of our system, find and quantify opportunities for improvement, and dive deep into existing data to root cause unexpected performance. You will collaborate with engineering, research, data science and business teams for future innovation. You need to be a sophisticated user of data querying tools, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.

Major responsibilities include:

Translate / Interpret

Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.

Measure/Quantify/Expand

a. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.

b. Explore/analyze data and work with Research Scientists, Data Scientists and Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers

c. Partner with Data Engineers and Software Engineers to design products and systems to transform and store billions of data items.

Explore/Enlighten

Given anecdotes about anomalies, design strategies to quantify the overall impact of such anomalies, deep dive to explain why they happen, and identify fixes.

Make Decisions or Recommendations

Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.

5+ years of experience as an analyst or engineer in the data/BI space Experience working directly with business stakeholders to translate between data and business needs Experience with data visualization using Tableau, Quicksight, or similar tools Experience with SQL Bachelor's or Master's Degree in Computer Science or related field Equivalent experience to a Bachelor's degree based on 4+ years of work experience for every 1 year of education Computer Science fundamentals in DW, DB design, Reporting technology Computer Science fundamentals in data structures Hands On experience with Python, R or other modern programming language

Master's degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data. Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight. Experience working with redshift, Cradle or other AWS tools is a plus

Keywords: Amazon.com, Inc., Seattle , Sr. Business Intelligence Engineer, Other , Seattle, Washington

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