Jobs
Amazon Logistics aims to leverage optimization techniques and data analysis to innovate a last mile delivery network. Last Mile seeks a Supply Chain Manager, Capacity Planning to lead in the space of capacity planning across traditional and crowd sourced delivery service and sort models.
Responsibilities:
- Leading end-to-end network initiatives involving multiple stakeholders.
- Developing the network strategy for new initiatives
- Analyzing data on upstream connections using SQL, Tableau, and Excel
- Defining metrics to measure and monitor supply chain performance, inbound flows and transportation metrics
- Interacting with and influencing field operations leaders.
- Working with Research Scientists and Data Engineers to develop planning models to optimize for cost while meeting capacity needs.
- Working with technology teams and product managers to develop new tools and systems to support the growth of the business.
Basic Qualifications
- 3+ years of program or project management experience
- 1+ years of supply chain experience
- Knowledge of SQL
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
Preferred Qualifications
- Knowledge of Lean principles and DMAIC methodology
- Experience in MS Access and SQL
- Experience in requirement gathering and ability to write clear and detailed requirement document
- Experience in program or project management
- Experience using data and metrics to determine and drive improvements
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TN, Nashville - 57,800.00 - 86,600.00 USD annually
USA, TX, Austin - 64,200.00 - 96,200.00 USD annually
USA, WA, Bellevue - 80,200.00 - 100,600.00 USD annually
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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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