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 IPC Automation team seeks an experienced and motivated Data Scientist/Business Intelligence Engineer/Business Analyst 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 is 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.

A qualified candidate must have demonstrated ability to manage medium-scale modeling projects, identify requirements and build methodology and tools that are statistically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. In addition to the modeling and technical skills, possess strong written and verbal communication skills, strong focus on customers and professional demeanor and high intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as changes arise.
Additional responsibilities may include:
• Research machine learning algorithms and implement by tailoring to particular business needs and tested on large datasets.
• Manipulating/mining data from database tables (Redshift, Oracle, Data Warehouse)
• Create 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
• Foster culture of continuous engineering improvement through mentoring, feedback, and metrics

Desired profile

BASIC QUALIFICATIONS

•A few years of strong quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Engineering or Business experience
• 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 in Statistical Software such as R, SAS, SPSS, MINITAB
• Proficiency with TABLEAU, Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge
• Able to write SQL scripts for analysis and reporting ( SQL, MySQL)
• Experience using one or more Python, VBA, MATLAB, Java, C++ programming languages
• Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data