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Workforce Staffing Specialist, Workforce Staffing
Amazon’s Workforce Staffing (WFS) team is pioneering solutions to our toughest workforce challenges across the globe, building innovative labor models and infrastructure that improve Amazon’s employment value proposition and scale over time. We are looking to hire a talented and committed WFS Specialist to join the Workforce Staffing (WFS) Team. We are a geographically distributed team, and you would be located at our buildings in Jeddah to support KSA Org.
- Key job responsibilities
- Creates a vision, based upon data, for a team/business and develops scalable strategies that capture the best talent and most diverse candidates at the lowest cost per hire and cost per WFS employee
- Evolves and implements labor acquisition strategies inclusive of employee class recommendations, labor pool utilization, talent pool conversion and other channel resources across different Amazon businesses
- Partners with local Site Leadership teams to include but not limited to Operations, Finance, Human Resources, and associated workflow teams to optimize labor requirements
- Develops and maintains relationships with both internal and external stakeholders to build long term partnerships
- Manages the analyses of daily, weekly, and monthly reporting of Workforce Staffing performance via Key Performance Indicators
- Forecast labor demand plans and create scalable staffing strategies to build infrastructure and ensure team resource capabilities meet business demand
- Evolves and implements strategies based off consistently changing needs of the business by tracking hiring event schedules and forecasted attendance rates
- Leads and drives projects, of increasing scale and complexity, and manages programs through completion
- Sets KPI’s benchmarks, metrics, and understands how to prioritize to meet and exceed all business SLAs
- Must be able to travel as needed to conduct events in various locations within your designated Node or assigned geographical area.
- Manage and own cost per hire budgets through oversight of labor acquisition, advertising and other talent acquisition costs within the node
- Manage and build strategies to optimize candidate cycle time, conversion rates and applicant funnel metrics to benchmark
- Exceed associate experience service levels and KPI’s measured by hiring activity results and defect reduction
- Partner with site Finance Managers and Operations Leaders to forecast and plan labor demand
Basic Qualifications
- 3+ years of human resources experience
- Experience with HR processes and systems
- Bachelor's degree
- Speak, write, and read fluently in English
Preferred Qualifications
- Experience with process improvement and stakeholder management
- Experience managing confidential and sensitive employee information and adherence to strict confidentiality standards
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
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
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