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Workplace Support Analyst, GREF Support Operations

职能运营
级别中级
地点Pune, Marshall Islands, India
方式现场办公
类型全职
发布1个月前
立即申请

Global Real Estate and Facilities (GREF) is seeking an analytical and process-oriented analyst to help build and enhance our global support operations. This role will dive deep into our operational processes, analyze our data, and identify opportunities to improve our service quality and customer experience. GREF supports Amazon's corporate offices across more than 60 countries and a workforce of 300,000+ employees. This position will help GREF drive operational efficiency through defect reduction, tool optimization, and partnership with our global service delivery teams.

The successful candidate will support data analysis, process documentation, and process implementation working with facilities and program teams. We seek someone who combines strong analytical capabilities, excellent documentation skills, and attention to detail. The role requires someone organized and adaptable in a fast-paced environment. Success depends on project management and operational skills along with the ability to collaborate cross-functionally. Most importantly, candidates must be passionate about customer and demonstrate a genuine commitment to creating environments where our employees can do their best work.

  • Key job responsibilities
  • Implement standardized processes, policies, and best practices across all regions and functional programs
  • Maintain comprehensive support documentation, including standard operating procedures, user guides, and best practices
  • Analyze support metrics and customer feedback to identify trends and improvement opportunities
  • Administer the use of support tools and dashboards including managing additions and changes to configuration
  • Support the implementation of new processes and tools across regions
  • Collaborate with cross-functional teams to gather requirements for tools, processes, and dashboards
  • Works with cross-functional teams including Regional Facilities Management and multiple 3P service providers

Basic Qualifications

  • 2+ years of program or project management experience
  • 3+ years of driving process improvements experience
  • Bachelor's degree
  • Experience with customer support technologies (CRM, ticketing systems, digital communication channels)
  • Operations management or customer service experience

Preferred Qualifications

  • 2+ years of driving process improvements experience
  • Experience using data and metrics to drive improvements
  • Experience in complex problem solving, and working in a tight schedule environment
  • Experience implementing repeatable processes and driving automation or standardization

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

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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

Junior/L3

L2

L6

M3

M4

M5

M6

Intern

L3

L4

L5

Junior/L3 · Warehouse

1份报告

$30,509

年薪总额

基本工资

$23,546

股票

-

奖金

-

$30,509

$30,509

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge