招聘
Amazon is handling hundreds millions of products in Japan. In terms of the business model, all of the items from the various suppliers are collected at Fulfillment Center(FC) at once. Then, they will be reached out to our individual customers via Delivery Stations(DS) , which are located in various locations in Japan. The latter part of logistics business to deliver the products from DS to customer is managed by Amazon Logistics(AMZL). AMZL is currently focusing on increasing number of DSs and expanding our networks in Japan so that we can reach out to more customers with better speed and cost.
AMZL is seeking a highly skilled and passionate person to help develop a world-class delivery network that delivers products on time at the lowest cost to the customers. Our mission is to build the most efficient delivery network on the planet. The position will be responsible for leading the long team design, planning and monitoring of Amazon’s last mile delivery network in Japan.
More Information (Japanese only)
ラストマイル(AMZL)部門の紹介
プロジェクトマネジメント職種の紹介
東京オフィス(本社)の紹介
"Amazon は多様かつインクルーシブな職場づくりを目指しています。Amazonは男女雇用機会均等法を順守しています。人種、 出身国、性別、性的指向、障がい、年齢、その他の属性によって差別することなく、平等に採用選考の機会を提供しています。障がいをお持ちの方は、以下をご覧ください。https://www.amazon.jobs/disability/jp
オペレーション部門のDEIの取り組み(Japanese Only)"
- Key job responsibilities
- Design the short-mid-long term network and develop the plan to support the geographical and services expansion of Amazon delivery network in Japan, in line with strategic goals.
- Anticipate future capacity needs and define how to re-organize the network to meet customers’ demand.
- Identify opportunities to optimize the Amazon transportation network, balancing delivery accuracy, speed and cost.
- Provide reports and analyses through tools, portals and databases (Redshift, SQL, Excel, and/or other data management systems) to allow full visibility of both the plan and our execution against it.
- Leverage in-house tools and internal data to perform simulation analysis and assess the network behavior under different scenarios.
- Deep dive on issues to drive short-term network fixes and long-term improvements
- Automate dashboard to create a single source of data sets for network improvements and optimizations
- Work with multiple stakeholders
- Be an expert of using in-house tools
Basic Qualifications
- 5+ years of program or project management experience
- Experience experience using data and metrics to measure impact and determine improvements
- Experience owning program strategy, managing end-to-end delivery, and communicating results to senior leadership
- Speak, write, and read fluently in English
Preferred Qualifications
- 4+ years of driving process improvements experience
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- Speak, write, and read fluently in Japanese
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 visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪 资范围
4个数据点
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0份报告
$187,921
年薪总额
基本工资
-
股票
-
奖金
-
$159,732
$216,110
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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