招聘

Logistics Scheduler, EU AMZL - Central Operations Speed team
Barcelona, B, ESP
·
On-site
·
Full-time
·
1mo ago
必备技能
Python
SQL
Excel
Are you ready to be part of Amazon's most innovative and fastest-growing delivery service?
We're revolutionizing the retail landscape by building an ultra-fast delivery service that will delight customers across major European cities. Our Quick Commerce initiative represents the next frontier in customer obsession, focused on bringing essential items to customers faster than ever before. As a Logistics Scheduler in our Quick Commerce team, you'll be at the forefront of managing one of the most complex and dynamic transportation networks. Your role will be crucial in orchestrating seamless operations across our network of stores, each strategically positioned to serve customers within their local areas.
We're looking for individuals who embody our bias for action, can think big, and are excited about solving complex logistics challenges in real-time. You'll be part of a team that's building the future of retail, working across EU markets to ensure we maintain our promise of ultra-fast delivery to our customers.
The position offers fixed work schedules (morning, afternoon, night or central shift), with rotating rest days throughout the week.
Key job responsibilities
- Key Job Responsibilities
- Monitor dark store operations and coordinate with delivery partners across the UK and EU network.
- Manage delivery capacity in real-time, responding to volume changes and operational issues.
- Track and resolve exceptions to maintain service quality
- Communicate with operations teams and stakeholders to keep everything running smoothly
- Report on performance metrics and support process improvements.
- Communicate with various departments, facilitating the flow of information between different stakeholders and resolving any potential issues that impact business continuity.
- Maintain and report up to date and accurate statistics, management reports and analysis.
Basic Qualifications
- Relevant experience in an analytical tasks or projects, working with data
- Advanced proficiency in verbal and written English (C1 in the Common European Framework of Reference, CEFR)
- Relevant experience working with the MS Office suite (Word, Excel, Outlook)
Preferred Qualifications
- Relevant experience in communicating with senior stakeholders and leadership
- Previous experience within transportation or logistics
- Working experience on programming and coding languages (SQL or Python).
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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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