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Business Intelligence Engineer, EU Supply Chain Engineering

ENGINEERINGUK

London

On-site

GBP 40,000 - 80,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a Business Intelligence Engineer to join its EU Supply Chain Engineering team. This role offers a unique opportunity to work on large-scale data processing and machine learning initiatives that drive significant savings and enhance operational efficiency. You will collaborate with cross-functional teams to develop and implement data-driven strategies that optimize inventory placement and improve customer fulfillment operations. If you are a self-starter with a passion for technology and data analysis, this position will allow you to make a meaningful impact while expanding your technical skills in a dynamic environment.

Qualifications

  • Experience in data/BI space and data visualization tools.
  • Strong background in SQL and AWS solutions.

Responsibilities

  • Build models to enhance Inventory Placement strategy for same-day business.
  • Drive improvements using data modeling to optimize inventory spread.

Skills

Data Analysis
Machine Learning
Data Visualization
Communication Skills
Problem Solving

Education

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics
Master's degree in BI or related field

Tools

SQL
Tableau
Quicksight
AWS (EC2, DynamoDB, S3, Redshift)
Python

Job description

Business Intelligence Engineer, EU Supply Chain Engineering

Sector: Engineering, Supply Chain and Procurement
Role: Professional
Contract Type: Permanent
Hours: Full Time

DESCRIPTION
The EU Supply Engineering team is expanding its team with new BIE roles to build world-class solutions supporting customer fulfillment operations by making optimal inbound and placement decisions. You will have the opportunity to work on new cross-functional initiatives that are exploratory in nature and expand your domain knowledge within Supply Chain optimization while further upskilling your technical skills by working closely with Software Developers and Applied Scientists.

In Amazon Supply Chain, we drive innovation for our customers to enhance product availability and speed while reducing costs and carbon emissions. This role provides a unique view into Amazon Inventory Placement systems, processes, and operations, enabling collaboration with planning, operations, and technical teams. Our system will be built entirely in-house in partnership with SCOT, utilizing the best technology for automating large-scale business planning and optimization decisions.

This role will be of interest if you:

  1. Are a self-starter and enjoy architecting systems involving large-scale data processing components and machine learning/economic and optimization models.
  2. Like working on innovative and impactful initiatives (e.g., $100M+ savings) with faster growth.
  3. Can effectively articulate technical challenges and solutions to non-technical audiences.
  4. Enjoy experimenting with technology to get the job done.
  5. Appreciate the unique opportunity to work in an engineering team while staying close to the business side of the problem.
  6. Utilize Test-Driven Development and Continuous Deployment.
  7. Expand and optimize our supply chain systems to support emerging business initiatives.

Key job responsibilities

  • Build models and 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.

BASIC QUALIFICATIONS

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, 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 for better understanding of business performance.
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.

PREFERRED QUALIFICATIONS

  • Master's degree in BI, finance, engineering, statistics, computer science, mathematics, 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.

Amazon is an equal opportunities employer. We believe 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.

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