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Process Assistant , Back End Night Shift

Amazon

Process Assistant , Back End Night Shift

Amazon

Dandenong South, VIC, AUS

·

On-site

·

Full-time

·

2w ago

Required Skills

Excel

We’re seeking for an experienced Process Assistant to join the team at our Fulfillment Center in Dandenong for night shift.

The Process Assistant will support the Area Manager, and will hold responsibilities specific to your process path.

Key job responsibilities:

  • Support and work in Pick and other departments as required,
  • Helping support daily management of department duties, including allocating labor, leading meetings, assigning job duties,
  • Providing coverage for Area Managers,
  • Providing policy follow-up, attendance tracking (duties do not extend to discipline),
  • Tracking and reporting of ATS/labor hours,
  • Assisting the floor as an associate resource, training associates and verifying SOP compliance,
  • Ensuring successful area performance, through tracking, reporting and feedback of associate performance,
  • Participating in Operational Excellence initiatives in some capacity,
  • Fully understanding workflow and daily production goals,
  • Assisting in keeping work area clean and organised,
  • Identifying and addressing safety hazards within the work area,
  • Coaching associates to work safely at all times
  • Referring all job injuries immediately to area manager.

Basic Qualifications

  • Experience leading and managing a team
  • Work 40 hours/week, and overtime as required
  • Experience working with computers and Microsoft Office (including Outlook, Word, and Excel)
  • Comfortable in lifting up to 16 kilos, stand/walk for up to 10-12 hours, and be able to frequently push, pull, squat, bend and reach, all with or without reasonable accommodation
  • Excellent written and verbal communication and interpersonal skills to coach, train and assist team members

Preferred Qualifications

  • Experience directly managing teams
  • Experience in retail, warehouse, or manufacturing is preferred
  • Experience with performance metrics and process improvement and Lean techniques

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

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+

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

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

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