Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

  • Munich, GERMANY
  • Design / Civil engineering / Industrial engineering

Job description



DESCRIPTION

The Supply Chain Optimization Technologies (SCOT) organisation 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. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.

The Automated Inventory Management team within SCOT 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 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:
· Performing complex analysis to understand the behavior of our automated inventory management systems
· Building scalable audits that allow to understand system behavior at scale for millions of products
· Developing new analytical approaches to find weaknesses in our systems efficiently
· Providing analytical network support to improve quality and standard work results
· Researching root causes of issues, to identify process breakdowns and provide insight on potential solutions
· Fostering culture of continuous engineering improvement through mentoring, feedback, and metrics

Ideal candidate profile



BASIC QUALIFICATIONS

· 2+ years of quantitative and qualitative experience in Business Intelligence or Data Science
· Bachelor's Degree in Computer Science, Information Management, Industrial Engineering, Maths, Statistics, Finance, or related industry experience
· Experience processing large scale datasets, analyzing data to solve business problems and presenting impactful insights to business teams
· Advanced knowledge in SQL
· Knowledge of visualization tools like Tableau
· Experience using statistical software such as scipy, scikit-learn or R
· Strong written and verbal communication skills. The role requires effective communication with colleagues from machine learning, economics and business backgrounds