Amazon

Amazon

Transportation Analyst, STRIDE Analytics, ATS

Company : Amazon

Location : Tempe, AZ, 85285

Job Type : Full Time

Date Posted : 27 March 2026

Description

Amazon Transportation Services (ATS) Line Haul is looking for a talented Transportation Analyst who will own analytics and develop solutions to drive insights and optimization for Network Planning and Forecasting. As a member of this team, you will have an opportunity to be a thought leader in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business leaders to design the Amazon network of the future.

This position requires superior analytical thinking, ability to quickly approach large ambiguous problems and apply analytics, technical and engineering expertise to rapidly analyze, validate, visualize, prototype and deliver solutions. This position also requires significant cross functional work and integration with transportation, tech, operations and finance. Successful candidates must thrive in a fast-paced environment

As you further your career at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and business cases to improve decision making. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have full ownership of the projects you work on.

#NALH

Key job responsibilities

  • Perform complex data analysis to identify opportunities to reduce fulfillment costs as well as improve efficiencies and customer experience

  • Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance

  • Ability to perform/own reoccurring and ad-hoc business intelligence projects

  • Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting

  • Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing

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

  • Bachelor's degree

  • 1+ years of program management, logistics, operations, supply chain, transportation, or equivalent experience

  • 1+ years of management experience

  • 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, WA, Bellevue - 25.00 - 32.00 USD hourly

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