
Workforce Staffing Coordinator, Workforce Staffing
2 days ago
Bachelor’s degree or equivalent qualification with 2+ years of experience.
- Excellent communication (written & verbal), interpersonal and analytical skills.
- Experience in building and driving talent sourcing initiatives.
- Experience in working autonomously or in a remotely managed environment.
At Amazon, we're working to be the most customer centric company on earth. To get there, we need exceptionally talented, bright and self-driven people. If you would like to help us build the place to find and buy anything online, this is your chance to make history.
**Key responsibilities**:
- Execute and audit New Hiring Events (NHE) based on labor projections to meet the labor order demands and fill on-time.
- Guide staffing vendors & applicants through the hiring process in accordance with Amazon’s policies and procedures.
- Develop & maintain effective communication process to ensure smooth & efficient flow of information amongst the key stakeholders.
- Must be able to travel as needed to conduct events in various locations within your designated Node or assigned geographical area.
- Staffing Coordinators are required to work a flexible schedule.
Key job responsibilities
- Execute and audit New Hiring Events (NHE) based on labor projections to meet the labor order demands and fill on-time.
- Guide staffing vendors & applicants through the hiring process in accordance with Amazon’s policies and procedures.
- Develop & maintain effective communication process to ensure smooth & efficient flow of information amongst the key stakeholders.
- Must be able to travel as needed to conduct events in various locations within your designated Node or assigned geographical area.
Staffing Coordinators are required to work a flexible schedule.
Pune, MH, IND
- Proficiency in MS-Office specially excel is essential (advanced formulas/ pivot reporting & integrating excel with other tools).
- Previous recruitment experience coordinating with agencies and/or direct hire sourcing models in a high-volume environment
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