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Amazon
Amazon

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Logistics Process Improvement Specialist, Data Center Logistics

직무물류
경력미들급
위치Tokyo, JPN
근무오피스 출근
고용정규직
게시2주 전
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AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

We’re looking for a Logistics Process Improvement Specialist to streamline, optimize and elevate our operations. Using LEAN principles and data-driven insights, you’ll uncover inefficiencies, design better workflows and deliver measurable results for our Data Center logistics team.

Key job responsibilities
As a Logistics Process Improvement Specialist, you will lead targeted process improvement projects across our Data Center logistics operations, applying LEAN, Kaizen and other operational excellence tools to deliver measurable results. You will map current workflows, identify bottlenecks and partner with operations teams to design and implement future-state processes that reduce waste, shorten cycle times, and improve accuracy.

You will work hands-on with logistics teams to pilot and roll out process changes, ensuring adoption through clear documentation, training, and KPI tracking. Using observational analysis and operational data, you will monitor results post-implementation, adjusting approaches to ensure sustained gains.

Alongside process improvement work, you will support day-to-day logistics, such as managing accurate inventory and parts checkouts for internal customers. Your responsibilities include arranging and supporting shipments, unpacking boxes and verifying contents, and maintaining clean, orderly and safe workspaces.

You will collaborate with inventory and transportation teams and data analysts to connect process changes with measurable performance improvements. You'll contribute to continuous improvement by coaching colleagues on LEAN concepts and encouraging problem-solving at every level.

This position involves occasional trips across the cluster and lifting materials up to 18kg (with support from teammates available).

A day in the life
Work within a diverse team with a 9:00-18:00 schedule on business days. Daily activities include:

  • Leading process improvement projects using LEAN and Kaizen methodologies
  • Mapping workflows, identifying bottlenecks, and implementing future-state processes
  • Identifying opportunities to improve processes and reduce waste
  • Shipping and receiving parts, coordinating with vendors, processing orders
  • Handling electronic components and lifting materials up to 18kg
    The role spans office and storage areas, the data center facility, and occasional travel across the cluster to support other sites, with some environments reaching 75db noise levels. On-call duties are required after hours.

About the team
We provide the right items to our customers, safely, accurately and in a timely manner—ensuring our teams have what they need, when they need it.

Our logistics team supports data center operations by managing inventory that keeps critical infrastructure running. You'll work closely with technicians and engineers who depend on timely access to parts and supplies. We solve problems by anticipating needs, preventing stockouts, and ensuring smooth material flow. Our mission is simple: remove barriers so customers can focus on maintaining data centers. You'll be part of a diverse, international team that values precision, reliability, and customer obsession.

Basic Qualifications

  • 2+ years of logistics experience
  • Experience using lean process improvement, six sigma methodologies, or related performance metrics/process improvements to increase efficiency within processes, forecasting, planning, optimization, or logistics
  • Business level English and conversational Japanese language skills

Preferred Qualifications

  • Knowledge of database query technologies (SQL)
  • Experience in project management including resource planning, managing schedules, reporting project status and prioritizing own tasks and those of other team members for multiple projects

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

Amazon

Public

Amazon.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

10개 리뷰

3.4

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.0

커리어

3.8

경영진

2.7

65%

지인 추천률

장점

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

연봉 정보

4개 데이터

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 후기

후기 6개

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge