Business Intelligence Eng II, EU Placement & Inbound Supply Chain

TN United Kingdom; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Business Intelligence Engineer to join their dynamic team in London. This role focuses on driving innovation in the supply chain, enhancing product availability while reducing costs and emissions. You will have the chance to work with diverse teams, utilizing data modeling and analysis to optimize operations. If you thrive in a fast-paced environment and enjoy analyzing complex systems, this opportunity could be your next career move. Join us in shaping the future of supply chain management and make a significant impact on our operations.

Qualifications

• Experience with data visualization tools like Tableau or Quicksight.
• Bachelor's degree in a quantitative field is required.

Responsibilities

• Build and maintain metrics to enhance Inbound performance.
• Collaborate with teams to develop analytical tools and insights.

Skills

Data Visualization

SQL

Data Analysis

Data Modeling

Business Intelligence

Education

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

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

Tools

Tableau

Quicksight

Python

Job description

Social network you want to login/join with:

Business Intelligence Eng II, EU Placement & Inbound Supply Chain, London

Client:

Amazon EU SARL (UK Branch)

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

4c380a63b1c8

Job Views:

4

Posted:

02.05.2025

Expiry Date:

16.06.2025

Job Description:

Have you ever wondered how Amazon delivers so quickly, or if delivery speeds could improve even further? In the Amazon EU Placement & Inbound Supply Chain team, we drive innovation for our customers to enhance product availability and speed while reducing costs and carbon emissions on the end-to-end supply chain from Selling Partners. This role offers a unique view into Amazon Inbound and Inventory Placement systems, processes, and operations, enabling collaboration with planning, operations, and technical teams. You will have the opportunity to simplify our supply chain network to deliver faster and cheaper. If you excel at understanding complex systems and have a proven track record of analyzing data to generate insights and business recommendations at scale, we'd like to talk to you.

This position is based out of our UK Headquarters in London.

Key job responsibilities

1. Build and maintain metrics to evaluate and enhance Inbound performance of Selling Partners and Amazon network.
2. Create analytical tools and processes to accelerate insights and automation.
3. Drive inbound and placement strategy improvements using data modeling and analysis to optimize product spread across Amazon facilities, enhancing selection and reducing distance.
4. Collaborate with technology teams to define key priorities to accommodate growing business needs and implement recommendations through new features and/or configurations.
5. Research, develop, document and present new opportunities to all levels of Supply Chain, Finance and Retail leadership.

A day in the life

1. 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.
2. Partner with Business and Tech teams to prioritize impactful insights.
3. Explore systems while performing anecdotes to understand concrete root causes.
4. Scale findings from anecdotes to understand its impact and respective prioritization.
5. Conduct data driven experiments to accelerate innovation.
6. Perform analysis at scale with new metric cuts and/or statistical models.

BASIC QUALIFICATIONS

• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with SQL
• Experience in the data/BI space
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

PREFERRED QUALIFICATIONS

• 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