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Business Intelligence Engineer, Delivery Speed and Long-term Planning

Amazon Europe
Location:
Luxembourg
Payment:
not communicated
Last updated:
26 April 2024
Contract Type:
Permanent
Hours:
Full Time
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Job Description

DESCRIPTION

Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this Business Intelligence Engineer role is for you.

 

Key job responsibilities

As Business Intelligence Engineer you will be responsible for steering our inventory and inbound strategy to deliver end-to-end benefits (speed, cost, sustainability).

The role includes 60% of analytical activities management and 40% project management.

 

Innovation & Stakeholder/Project management

  • Use and share your insights with partner teams, to influence/build a roadmap of project to accelerate speed of deliveries in your country
  • For the most complex opportunities, quickly launch new pilots, and build scale-up business case with benefits, bottlenecks, risks and resources required
  • For the algorithmic opportunities, work with teams of software developers and research scientists to design the next round of software innovation
  • Lead regular business review with partner teams to monitor the progress of projects in the roadmap. Help into removing bottlenecks
  • Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (VP-level).

 

Data Analytics/Science

  • Deep dive complex data to uncover actionable insights for known and unknown problems
  • Good expertise with SQL

 

About the team

The team: Global transportation services, Fulfillment acceleration

  • Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe.
  • Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms.
  • Fulfillment acceleration is one of those Global transportation analytical team. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day.

 

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

 

BASIC QUALIFICATIONS

  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience in the data/BI space

 

PREFERRED QUALIFICATIONS

  • MS/BS Degree in computer science or any relevant technical experience
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

 

 

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.


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