Business Intelligence Engineer, LMEA

Amazon; Asti; In loco; EUR 55.000 - 75.000; Tempo pieno

Descrizione del lavoro

A leading logistics firm is seeking a Business Intelligence Engineer to enhance last mile delivery operations. This role involves analyzing large datasets, developing BI capabilities, and collaborating with various teams. Key qualifications include fluency in Japanese and English, experience in data analysis, and proficiency in various data visualization tools. A Master’s degree is preferred for this position based in Italy.

Competenze

• 2+ years of experience with data analysis.
• Experience with data visualization tools.
• Proficient in building and maintaining data artifacts.

Mansioni

• Partner with multiple teams for requirements and solutions.
• Work with Data Engineering on BI needs.
• Analyze large datasets for trends in logistics.

Conoscenze

Analyzing and interpreting data

Data visualization

Data modeling

Statistical analysis

Scripting language proficiency

Fluency in Japanese

Fluency in English

Formazione

Master's degree or advanced technical degree

Strumenti

Redshift

Oracle

NoSQL

Tableau

Quicksight

Python

Descrizione del lavoro

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 outstanding 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

• Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
• Partner with Data Engineering teams to prioritize and define AMZL JP data and BI development needs
• Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
• Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation
• Analyze and visualize large datasets to uncover trends or issues relevant to last mile logistics, and output solid analysis report with recommendation
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
• Speak, write, and read fluently in Japanese
• Speak, write, and read fluently in English

Preferred Qualifications

• Master’s degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
• Experience with scripting language (e.g., Python, Java, or R)

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Posted: June 24, 2025 (Updated about 16 hours ago)

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