Amazon Europe Core
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Amazon Europe Core

Business Intelligence Engineer

  • Business Intelligence
  • Team Leadership
    Python
    Execution
    Mentoring
    Tableau
    Storage
    Oracle
    Business Process
    Data Analysis
    SAS
    Communication
    Algorithms
    Matlab
    Data Mining
    Amazon DynamoDB
    ETL
    Engineering
    Optimization
    SQL
    Redshift
    Oracle
    NoSQL
    Tableau
    R
    SAS
    Matlab
    SQL
    Python
    Amazon DynamoDB
    ETL
    Data Visualization
    Data Modeling
    Data Warehousing
    Data Analysis
    Data Mining
    +28
  • LU
    Luxembourg
Manifester de l'intérêt pour ce poste
  • Business Intelligence
  • Team Leadership
    Python
    Execution
    Mentoring
    Tableau
    Storage
    Oracle
    Business Process
    Data Analysis
    SAS
    Communication
    Algorithms
    Matlab
    Data Mining
    Amazon DynamoDB
    ETL
    Engineering
    Optimization
    SQL
    Redshift
    Oracle
    NoSQL
    Tableau
    R
    SAS
    Matlab
    SQL
    Python
    Amazon DynamoDB
    ETL
    Data Visualization
    Data Modeling
    Data Warehousing
    Data Analysis
    Data Mining
  • LU
    Luxembourg

À propos

Business Intelligence Engineer, SCOT - Automated Inventory Management

The Supply Chain Optimization Technologies (SCOT) organization 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 Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms, metric bridges, dashboards, processes and workflow systems.

The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, business owners, product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.

Compétences idéales

  • Team Leadership
  • Python
  • Execution
  • Mentoring
  • Tableau
  • Storage
  • Oracle
  • Business Process
  • Data Analysis
  • SAS
  • Communication
  • Algorithms
  • Matlab
  • Data Mining
  • Amazon DynamoDB
  • ETL
  • Engineering
  • Optimization
  • SQL
  • Redshift
  • Oracle
  • NoSQL
  • Tableau
  • R
  • SAS
  • Matlab
  • SQL
  • Python
  • Amazon DynamoDB
  • ETL
  • Data Visualization
  • Data Modeling
  • Data Warehousing
  • Data Analysis
  • Data Mining
  • Luxembourg

Expérience professionnelle

  • Business Intelligence

Compétences linguistiques

  • Dutch
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