Jobs
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Amazon Logistics is seeking an Operations Supervisor
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Return to Station (RTS) to support the Operations Shift Manager in driving innovation and execution within transportation networks. The ideal candidate will have the motivation to lead a team in meeting targets and productivity expectations aligned with company goals. This role requires taking responsibility for tracking team attendance and workflow, as well as collaborating with the Operations Shift Manager to identify and resolve issues as they arise. This is a part-time position, Thursday
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Saturday, 12:00 p.m. – 10:00 p.m.
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Key job responsibilities
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Support in the development of a strong culture of health and safety practices and initiatives through the compliance with legislation and policy
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Support daily management of department duties
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Deputise for the Operations Shift Manager as required
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Carry out debriefs of all staff and ensure that paperwork is accurately and fully completed
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Carry out duties in accordance with Standard Operating Procedures (SOPs)
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Assign work to staff as required to support the workflow and daily metrics
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Support the Operations Shift Manager by ensuring there is sufficient resourcing for your function including call outs for training needs, absence and performance management, coaching and continuous monitoring of department productivity
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Assist with the training of new associates to ensure they have the right knowledge to carry out tasks required
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Assist the Operations Shift Manager with tracking, trending and reporting of departmental metrics
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Assist the Operations Shift Manager in analysing and understanding the reasons behind success and failure in meeting departmental and Delivery Station goals
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Tracking and reporting of hours and schedules for Associates
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Follow up and solve process-related area issues as required
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Ensure equipment defect reporting is completed to a high standard
Basic Qualifications
- Experience managing teams
- Experience with planning, performance metrics, and process improvement
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
Preferred Qualifications
- Experience in logistics
- Experience in warehouse operations
- Experience with data analysis
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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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About 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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Intern
L2 · Revenue Operations L2
0 reports
$163,421
total / year
Base
$65,368
Stock
$81,711
Bonus
$16,342
$114,395
$212,447
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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