Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

  • Seattle (King County)
  • Design / Civil engineering / Industrial engineering

Job description

DESCRIPTION

Have you ever ordered a product on Amazon and when that box with the smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it would have cost Amazon? If so, the Amazon Global Supply Chain Optimization Team is for you. We build systems to peer into the future and estimate the distribution of tens of millions of products every week to Amazon's warehouses in the most cost-effective way. When customers place orders, our systems use real time, large scale optimization techniques to optimally choose where to ship from and how to consolidate multiple orders so that customers get their shipments on time or faster with the lowest possible transportation costs. This team is focused on saving hundreds of millions of dollars using cutting edge science, machine learning, integer programming and scalable distributed software on the Cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.

SCOT's Operating Inventory R&O (Risks & Opportunities) team seeks an experienced and motivated Business Intelligence Engineer/ Business Analyst with outstanding leadership skills, proven ability to develop, enhance, automate, and manage inventory predictions and bridging 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 to large-scale modeling projects, identify requirements and build forecasting methodology and tools that are statistically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes, include demand patterns or technology capability, optimize inventory prediction accuracy and to better understand and mitigate model variance drivers. In addition to the modeling and technical skills, possess strong written and verbal communication skills, strong focus on internal 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

• 2+ 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, Logistics/Transportation 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

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