招聘
Job Description for Transportation Specialist – NOC INDIA
NOC (Network Operations Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, NOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving NOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, NOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time.
Purview of a Transportation Specialist:
In this role, the candidate will work with business and operations team to solve customer escalations, analyze historic results, initiate programs – all in an environment of rapid growth and increasing complexity. Candidate will drive improvements to the visibility tools, methods, and processes utilized by the team to increase the availability and granularity of actionable data to internal and external partners. The successful candidate must show significant ownership on customer issues and proactively initiate SOPs and process changes as required. He/she will be passionate about their work, detail-oriented, and have excellent problem-solving abilities. He/she will have superb communication and customer-relationship skills, outstanding analytic insight, and be a passionate advocate of customer to other stakeholders. He/she will drive towards simple, scalable solutions to difficult problems, and have excellent project-management skills Responsibilities include, but are not limited to:
Communication with internal customers (CS, MM, LM, FC, Trans Program, HR).
Exceptional written and verbal communication skills with the ability to create compelling positioning / messaging strategy and present complex information clearly and concisely.
High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision.
Strong analytical, mediation and problem resolution skills.
Demonstrated leadership with a bias towards action, supporting a culture of ownership and learning.
Skilled in collaborative management environment, clear formal and informal communication with members of the remote and local management teams.
Strong understanding of process improvement techniques
Basic Qualifications
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
Preferred Qualifications
- Experience with Excel
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
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
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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