Business Intelligence Engineer, Amazon Logistics

Amazon; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Business Intelligence Engineer to enhance last-mile logistics through data-driven insights. This role involves analyzing large datasets, developing visualizations, and collaborating with various teams to optimize delivery processes. The ideal candidate will possess strong analytical skills, technical expertise, and the ability to communicate complex data insights effectively. Join a forward-thinking company that values diversity and innovation, and be part of a team that is committed to improving customer satisfaction through efficient logistics solutions. This is a unique opportunity to make a significant impact in a dynamic environment.

Qualifications

• 5+ years of experience in data analysis and interpretation.
• Strong experience with SQL and data visualization tools.

Responsibilities

• Lead data-driven presentations translating analytics into business insights.
• Collaborate with teams to define data and BI development needs.

Skills

Data Analysis

Business Intelligence

Analytical Skills

Data Visualization

SQL

Python

Education

Bachelor's degree in a related field

Tools

Redshift

Tableau

Quicksight

NoSQL

AWS (EC2, DynamoDB, S3)

Job description

Business Intelligence Engineer, Amazon Logistics

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast?
Have you wondered where it came from and how much it cost Amazon to deliver it to you?
If so, Amazon Logistics (AMZL), Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for playing a key role in our Analytics team building out analysis, reporting, automation and visualization dashboards and processes to support our growing Amazon Logistics business in Japan. The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network. This individual will work with technical and business teams to optimize execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as strong business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.

Key job responsibilities:

1. Lead data-driven presentations to executive stakeholders, translating complex analytics into actionable business insights and strategic recommendations.
2. Partner with internal stakeholders to gather requirements and deliver comprehensive solutions.
3. Collaborate with Data Engineering teams to prioritize and define AMZL Japan's data and BI development needs.
4. Work with scientists, global supply chain, transportation, and logistics teams to identify new BI capabilities and projects.
5. Conduct deep-dive investigations into operations and business challenges, identifying opportunities and leading implementation.
6. Analyze large datasets to uncover trends in last-mile logistics, producing solid analysis reports with actionable recommendations.
7. Develop queries and visualizations for both ad-hoc requests and ongoing reporting needs.

BASIC QUALIFICATIONS

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

PREFERRED QUALIFICATIONS

- 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.

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Posted: April 4, 2025 (Updated about 4 hours ago)

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