Business Intelligence Engineer, ARTS
- ð¯ðµ Japan
- On-site
- 3 weeks ago
- Apex
- Data Visualization
- AWS
- Redshift
- AI
- Machine Learning
- Oracle
- NoSQL
- Tableau
- Python
- Java
- Data Modeling
[English]
Amazon's mission is to be "Earth's most comprehensive selection" and "Earth's most customer-centric company." The Customer Experience we provide rests on three pillars: selection, low prices, and convenience. As the hub of Amazon Japan's Operations business, we operate approximately 30 Fulfillment Centers (FCs) and continue to expand in order to deliver a better Customer Experience. FCs are logistics hubs equipped with cutting-edge systems and facilities, shipping over 1.4 billion items in 2023. FC logistics management is less about running a warehouse and more akin to the process management found in manufacturing.
APEX-RoW Technology Solutions (ARTS), together with the FC Central team, is now seeking a customer-focused Business Intelligence Engineer to ambitiously support FC operations through technology. This position contributes to the Operations division's ongoing efforts to reduce costs, improve delivery speed, and expand selection for customers, by efficiently and effectively leveraging the Big Data gathered from across the entire Amazon Fulfillment Network throughout Japan. By applying the latest methodsâsuch as data analysis, data pipeline construction, and data visualizationâto operational challenges, this role drives standardization, automation, and optimization.
What makes this position appealing
Work moves at a very fast pace, with many changes every day. As the business expands rapidly, this is an environment where you can proactively take on new challenges and grow alongside the growth of the business. From a data management perspective, the environment offers the following:
- In a data-driven organization, you will learn methods for effectively leveraging big data for the business over the long term
- You will drive projects together with engineering team members from diverse backgrounds and skill sets, as well as business-side specialists
- You can be involved in every stage of designing and building KPIs, BI dashboards, data pipelines, and more, and drive them forward with a high degree of autonomy
- You can grow as a BIE capable of development based on AWS standards (Redshift, S3, Lambda, QuickSight, etc.)
Who we're looking for
- Someone who consistently brings flexibility and a sense of speed, and who proactively takes on problem-solving and action to make things better for both customers and Amazon
- Someone who can discern the essence of an issue, identify the root cause of a problem, and devise and execute fundamental solutions
- Someone who can drive improvements while collaborating with internal customer departments and stakeholders
At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.
[Japanese]
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Key job responsibilities
[English]
- Support the resolution of FC (Fulfillment Center) operational challenges by proposing actionable initiatives through data analysis
- Build data pipelines and automate end-to-end processes
- Design and develop metrics, reports, and dashboards
- Communicate thoughtfully with stakeholders to uncover their essential needs and propose the ideal solution
- Provide customers with best practices for data handling within the organization, and build mechanisms that maximize the value of data
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A day in the life
[English]
A typical day's workflow is as follows:
- Attend the daily stand-up meeting and provide status updates
- Meet with internal stakeholders to confirm their needs
- Compile specifications and create design documents
- Develop BI analyses/solutions
- Learn about new BI technologies
[Japanese]
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Basic qualifications
- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with scripting language (e.g., Python, Java, or R)
Preferred qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visithttps://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youâre applying in isnât listed, please contact your Recruiting Partner.
Business Intelligence Engineer, ARTS · Amazon