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

Business Intelligence Engineer

Would you like to be part of the transformation in logistics, using data and AI as your weapons in a rapidly growing organization? The Amazon Japan Transportation division is recruiting a Business Intelligence Engineer to lead the Data and Algorithm team, build solutions required by the business, and drive tech adoption among the organization, including non-engineers.

Our company operates Japan's largest e-commerce marketplace. Our corporate philosophy is to become "the Earth's most customer-centric company", and we are building a network that allows customers to buy the products they want, when they want them, with the fastest delivery. Receiving inventory without delay and providing customers with a wide selection of products, while delivering as promised, is the core of our service. However, the environment surrounding the logistics and retail industry is changing daily. Providing high-quality services for customers, even in constantly changing situations, is an essential element of our competitiveness.

As Amazon Japan continues to grow, the complexity of our supply chain is increasing, and we need to improve the efficiency, visibility, and quality of business operations. We are looking for an engineer to lead a team that provides optimal models and solutions using AWS and Amazon's proprietary tools to address these challenges.

Key Job Responsibilities

• Provide model and solution for complex, high-business-impact challenges. Architect and design these solutions, collaborating with other engineering teams as needed.
• Lead the team from a technical standpoint. Support other engineers in translating their challenges into computationally feasible forms, and implementing robust, efficient, and maintainable solutions.
• Work with the Manager to establish engineering standards (e.g. accuracy, efficiency) and operational standards (e.g. quality, consistency, reliability), and build mechanisms to uphold them.
• Define, together with the Manager, metrics to measure the team's progress, data/solution quality, and the state of engineering and operations.
• Think strategically and make tradeoffs, as your decisions will impact the organization's infrastructure (including resources and costs).
• Communicate ideas effectively, both verbally and in writing, to all types of stakeholders. Produce strategic documentation.
• Lead projects with limited guidance.

A Day in the Life

10:00 Arrived at work. Wrote code for the project I'm leading.

10:30 Received an explanation from a colleague about a new generative AI database tool they implemented. The tool has the Vector Storage feature I've been wanting, and I'm excited about it.

11:00 Designed combination optimization code with the project team. Ran it in a Notebook, completing my morning work.

12:00 Lunch. Tried the weekly special Tandoori Chicken for the first time. Exotic!

13:30 Scrum Daily Meeting. Checked on colleagues' progress and exchanged information. Looks like I can use the KV Caching technique from another project.

14:00 Flash discussion with the biz side. Aligned on implementation ideas.

14:30 Got a massage at the company, which was great to relieve my shoulder tension.

15:00 Left the office for the day, remaining work to be done at home.

16:00 Checked the results of the combination optimization job. It's definitely improving. Might be good to combine it with GA.

18:00 Prepared for tomorrow's Project Weekly. Checked team members' progress on Slack and provided some advance advice. Saved the Notebook figure they created.

18:30 Reviewed code, adding a few comments before approving.

19:30 Finished work for the day.

About the Team

Our team provides data-driven solutions, and our main missions are the following three:

• Overhaul and maintain a large-scale Data Mart to comprehensively manage and analyze trunk transportation information.
• Provide machine learning, optimization algorithm solutions utilizing the data from the above.
• Provide Data Pipeline and Dashboard solutions to derive Business Insights using the data from the above.

In particular, there is a growing demand in the area 2, and we are accelerating the development.