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Business Intelligence Engineer, EU Supply Chain Engineering

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Amazon

8d ago

  • Job
    Full-time
    Mid & Senior Level
  • Logistics
    Data
  • London

AI generated summary

  • You need a degree in a quantitative field, BI experience, SQL skills, data visualization expertise, AWS knowledge, and programming proficiency in Python or Java.
  • You will model inventory strategies, analyze data for optimization, collaborate across teams, present insights, and conduct experiments to drive improvements in supply chain efficiency.

Requirements

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • Experience in the data/BI space
  • Experience with SQL
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience in software development utilizing programming languages such as Java or Python.

Responsibilities

  • Key job responsibilities
  • Build models & design systems that enhance Inventory Placement strategy for same day business.
  • Drive placement strategy improvements using data modeling and analysis to optimize inventory spread across Amazon facilities, enhancing selection and reducing customer delivery distance.
  • Collaborate with technology teams to define key priorities to accommodate growing business needs and implement recommendations through new features and/or configurations.
  • Research, develop, document and present new opportunities to all levels of Supply Chain, Finance, Fulfilled By Amazon (FBA) and Retail leadership.
  • A day in the life
  • Collaborate with a diverse team of Business Intelligence Engineers, Data Scientists, Program or Product Managers and Finance Analysts to develop effective metrics and analytical tools that address business goals.
  • Partner with Business and Tech teams to prioritize impactful insights.
  • Explore systems while performing anecdotes to understand concrete root causes.
  • Scale findings from anecdotes to understand its impact and respective prioritization.
  • Conduct data driven experiments to accelerate innovation.
  • Perform analysis at scale with new metric cuts and/or statistical models.

FAQs

What is the main focus of the Business Intelligence Engineer role in EU Supply Chain Engineering?

The main focus is to build world-class solutions that enhance customer fulfillment operations by optimizing inbound and placement decisions within the supply chain.

What qualifications are required for this position?

A Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or a similar quantitative field is required, along with experience in the data/BI space.

What technical skills are preferred for the role?

Preferred skills include experience with SQL, data visualization tools like Tableau or Quicksight, and AWS solutions such as EC2, DynamoDB, S3, and Redshift. Additionally, programming skills in Java or Python are advantageous.

Will there be opportunities for collaboration in this role?

Yes, the position involves collaborating with a diverse team of Business Intelligence Engineers, Data Scientists, Program or Product Managers, and Finance Analysts.

What is the potential impact of the initiatives you will work on?

You will work on innovative and impactful initiatives that could result in savings of $100M or more.

Are there opportunities for professional development in this role?

Yes, the role offers opportunities to expand domain knowledge in supply chain optimization and further develop technical skills while working closely with software developers and applied scientists.

What is a day in the life of a Business Intelligence Engineer like at Amazon?

A typical day involves collaborating with various teams, conducting data-driven experiments, performing analyses at scale, and presenting recommendations to different levels of leadership.

Does this role require experience with data modeling?

Yes, experience with data modeling and analysis to enhance inventory placement strategy and optimize inventory spread is essential for this role.

Is the company committed to diversity and inclusion?

Yes, Amazon is an equal opportunities employer and values a diverse workforce as key to its success.

Will I need to use Test-Driven Development and Continuous Deployment in this role?

Yes, familiarity with Test-Driven Development and Continuous Deployment is part of the expectations for this position.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.