Jobs
Required skills
Python
SQL
Excel
Tableau
Do you want to be part of an organization that is developing and launching new business models? If so, Amazon’s Network Engineering & Scheduling Technology (NEST) team is looking for an experienced Transportation Specialist with a strong record of achieving results, to own and drive accurate load scheduling for a quickly growing business segment. We are looking for a leader who is passionate about building new businesses, solving complex problems for our customers, and establishing end-to-end transportation scheduling processes. Amazon transportation encompasses all of the operations that deliver worldwide shipments to and from our fulfillment centers and third-party locations. The NEST team needs exceptionally talented, bright, and driven people to design, develop, and improve our transportation systems.
- Key job responsibilities
- Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus.
- Develop and/or understand performance metrics to assist with driving business results.
- Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data.
- Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered.
- Work within various time constraints to meet critical business needs, while measuring and identifying activities performed.
- Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum.
Basic Qualifications
- 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience
- High school or equivalent diploma
- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach
- Work 40 hours/week, and overtime as required
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Are 18 years of age or older
Preferred Qualifications
- Experience using SQL, Tableau, and/or Python
- Data management & data quality control experience with knowledge pulling and analyzing large sets of data
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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, AZ, Tempe - 21.00 - 29.00 USD hourly
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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
$1.5T
Valuation
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
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per 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
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