Business Intelligence Engineer

Job description

DESCRIPTION

The Inventory Planning and Control (IPC) team owns Amazon's global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large-scale business, inventory and supply chain planning and optimization systems. IPC fosters new game-changing ideas, continuously improves, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.

IPC is unique in that we're simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon. Unlike many companies who buy existing off-the-shelf planning systems, IPC is responsible for studying, designing, and building systems to suit Amazon's needs. We are on the forefront of supply chain thought leadership and work on some of the most difficult problems in the industry with some of the best research scientists and software developers in the business.

The Automated Inventory Management (AIM) team within IPC seeks an experienced and motivated Data Scientist/Business Intelligence Engineer with outstanding leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. The successful candidate will have strong data mining and modeling skills and be comfortable facilitating ideation and working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast/buying systems errors & changes, and present findings to business partners to drive improvements.

Additional responsibilities may include:
· Manipulating/mining data from database tables (Redshift, Oracle, Data Warehouse)
· Creating automated metrics using complex databases
· Providing analytical network support to improve quality and standard work results
· Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown
· Researching and implementing machine learning algorithms
· Fostering a culture of continuous engineering improvement through mentoring, feedback and metrics

Desired profile

BASIC QUALIFICATIONS

· 2-5 years of quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Engineering or Business
· Bachelor's Degree in Engineering, Math, Statistics, Finance, Computer Science, or related industry experience
· Experience with statistical analysis, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
· Experience using statistical software such as R, SAS, SPSS, Minitab
· Advanced user of Excel or Tableau, able to manipulate data, write macros and create charts and pivot tables
· SQL scripting for analysis and reporting
· Programming experience in one or more languages (eg Python, VBA, MATLAB, Java, C++)
· Experience processing, filtering and presenting insights around large data sets (millions of rows)
· Strong written and verbal communication skills. The role requires effective communication with colleagues from machine learning, economics and business backgrounds