채용
Required Skills
SQL
Excel
Tableau
Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online.
Global Finance Solutions (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Production Planning Analyst to support our Latam Production Planning team.
At Amazon, delivering great experiences for our customers is top priority. The Production Planning Team ensures Amazon’s Fulfillment and Sort Centers have robust and cost optimal labor plans while constantly innovating in a number of areas aimed at improving our customers’ experience. We are looking for a passionate, analytical and technical person to work with us on innovating and improving our processes on behalf of our customers across different geographies. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we’d like to talk to you.
Key job responsibilities
The Production Planning analyst will be expected to deliver weekly capacity plans for Amazon Fulfillment and Sort Centers. These capacity plans will help influence network level strategic decisions through partnering with senior stakeholders in the sites as well as the network. The ideal candidate will possess both an analytical background that enables them to support network planning and demonstrate the ability to think broadly and strategically about operational initiatives. They will experience a wide range of problem solving situations, requiring extensive use of data collection and analysis. They will work in lock-step with multiple business teams including operations leadership, HR, finance leadership, supply chain and transportation teams of the network they will plan for.
Basic Qualifications
- Portuguese and English language skills (verbal and written)
- 2+years of experience in Planning Capacity, Workflow, Financial Planning, Operations Field Management or related fields.
- Bachelor’s Degree in Engineering, finance or related field
- Advanced Excel skills
- Strong problem solving and troubleshooting skills
Preferred Qualifications
- Experience in Operations, demand and Capacity Planning or Supply Chain
- Experience in SQL/VBA or any visual analytics platform like Power
BI or Tableau:
- Experience with performance metrics
- Ability to build scalable analytical models
- Direct experience in quantitative research or analyses
- Master’s degree (Business, Engineering, Statistics or related field)
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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