Senior Business Intelligence Engineer, BITES - Japan Transportation Business Intelligence in Transportation Engineering & Science

Amazon Japan's Transportation division is seeking a Senior Business Intelligence Engineer to lead their Data and Algorithm team in a rapidly growing organization. This role combines data science, AI, and logistics transformation to drive tech adoption and build solutions for complex business challenges.

The position is part of Japan's largest e-commerce operation, aligned with Amazon's mission to be Earth's most customer-centric company. The role focuses on building and maintaining a network that enables fast, reliable delivery of products to customers, managing an increasingly complex supply chain that requires sophisticated data-driven solutions.

Key Responsibilities:

• Lead technical initiatives in data and algorithm development
• Design and implement robust, efficient solutions for complex business challenges
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Establish and maintain engineering standards for accuracy, efficiency, and quality
• Drive adoption of new technologies, including generative AI
• Provide technical leadership and mentorship to team members

The team's primary missions include:

1. Managing and maintaining a large-scale Data Mart for comprehensive transportation analysis
2. Developing machine learning and optimization algorithm solutions
3. Creating data pipelines and dashboard solutions for business insights

Technical Environment:

• AWS ecosystem (Redshift, S3, etc.)
• Python for automation and analysis
• Advanced SQL for data manipulation
• Machine learning and optimization algorithms
• Cloud computing and storage technologies

The role offers a flexible work environment with a hybrid schedule, combining office and remote work. The position includes opportunities to work with cutting-edge technologies and contribute to significant business impact through data-driven solutions.

The ideal candidate will bring both technical expertise and business acumen, capable of bridging the gap between complex technical solutions and business needs. They should be comfortable leading projects with limited guidance and able to communicate effectively with various stakeholders.

This is an opportunity to join a growing team where machine learning and automation solutions are rapidly expanding, with these initiatives representing 80% of new development needs and delivering significant business impact.