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Transportation Analyst, NEST Analytics

Amazon

Transportation Analyst, NEST Analytics

Amazon

Tempe, AZ, USA

·

On-site

·

Full-time

·

5d ago

Amazon’s Transportation Execution & Systems Team is seeking a Transportation Analyst to join a team that identifies, creates, develops and integrates innovative solutions that lead to improvements in our North American transportation network. Amazon transportation encompasses all of the operations that deliver worldwide shipments to and from our fulfillment centers and third party locations. The Network Operations Center needs exceptionally talented, bright, and driven people to design, develop, and improve our transportation systems.

Key job responsibilities

  • Drive continuous improvement by identifying ways to streamline processes and reduce waste
  • Problem solve and design solutions for Amazon's transportation network
  • Maintain/update internal documentation for internal training and reference and show an acumen on analytics skills to learn and develop dashboards/reporting for the team
  • Support large scale transportation programs
  • Configure the inputs driving shipping decisions for packages in our North American transportation network

Basic Qualifications

  • High school or equivalent diploma
  • Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
  • Experience managing large data sets and utilizing to drive performance and process improvements

Preferred Qualifications

  • 1+ years of program management, logistics, operations, supply chain, transportation, or equivalent experience
  • 1+ years of management experience
  • Bachelor's degree
  • Experience with SQL

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, AZ, Tempe - 25.00 - 32.00 USD hourly
USA, TN, Nashville - 22.00 - 29.00 USD hourly
USA, WA, Bellevue - 25.00 - 32.00 USD hourly

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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