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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
- Experience with SQL
- Bachelor's degree or above 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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Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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