Supply Chain Manager II, Transportation Planning, North America Transportation Services

Amazon

Bellevue, WA

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JOB DETAILS

SKILLS

Analysis Skills, Business Case, Business Intelligence Software, Corrective Action, Cost Control, Cross-Functional, Data Analysis, Data Management, Data Science, Data Sets, Data Visualization Tools, Database Extract Transform and Load (ETL), Database Report Tools, Forecasting, Identify Issues, Leadership, Logistics, Metrics, Operational Improvement, Operations Planning, Operations Research, Performance Analysis, Pivot Tables, Power BI, Problem Solving Skills, Process Improvement, Reporting Dashboards, Requirements Management, Risk, Root Cause Analysis, SQL (Structured Query Language), SQL Databases, Sales Pipeline, Strategic Analysis, Supply Chain, Supply Chain Management, Tableau, Team Player, Transportation Planning, Vlookups

LOCATION

Bellevue, WA

POSTED

30+ days ago

Description Own the analytical programs that improve how Amazon plans and moves packages across one of the world's largest transportation networks. In this role, you'll turn complex data into actionable planning solutions that directly reduce delivery costs and accelerate speed for hundreds of millions of customers. If you thrive at the intersection of supply chain strategy, data analysis, and cross-functional influence, this is your opportunity to drive visible, measurable impact at unprecedented scale. Key job responsibilities - Analyze delivery performance across the North American transportation network to identify improvement opportunities, then lead programs from business case development through implementation and impact measurement - Develop and maintain automated reporting mechanisms and dashboards that enable operations partners to monitor planning health indicators and make data-driven decisions at scale - Influence cross-functional leaders across operations, science, and technology teams through compelling data narratives to drive alignment on planning improvements without direct authority - Partner with Data Engineers, Data Scientists, and Product Managers to translate business requirements into technical solutions that improve forecast accuracy and planning mechanism reliability - Retrieve, synthesize, and act on complex datasets using SQL, Excel, and ETL tools to identify root causes of planning variance and recommend corrective actions A day in the life You start the day reviewing forecast and capacity inputs, identifying where network variability creates risk. By mid-morning, you're analyzing planning data to diagnose root causes of performance gaps across transportation nodes. After lunch, you facilitate a cross-functional discussion with operations and data science partners to align on a proposed planning mechanism improvement. You spend the afternoon building a business case for your initiative, using SQL to validate assumptions and quantify expected impact. Your day wraps with stakeholder updates, sharing progress on your improvement programs and removing blockers to keep delivery timelines on track. About the team The Plan Improvement, Network Flow, and Explainability (PINE) team stewards the Network Flow Plan across Amazon's outbound transportation network-spanning first-, middle-, and last-mile operations. We bridge technical innovation with operational execution to improve forecast accuracy, plan adherence, and network alignment. Our work transforms planning gaps into scalable solutions that directly enhance how Amazon delivers for customers. We value intellectual curiosity, data-driven decision-making, and collaborative problem-solving in a fast-paced environment where your contributions visibly improve the transportation experience for millions of customers daily. Basic Qualifications - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Experience with Excel (Pivot Tables, VLookUps) at an advanced level and SQL - 3+ years of experience in supply chain, transportation, logistics, or operations planning - Bachelor's degree in supply chain management, business, engineering, operations research, or a related quantitative field, or 5+ years of relevant professional experience Preferred Qualifications - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages - Experience leading cross-functional projects and managing large, complicated programs - Experience in ETL management/data pipeline - Experience working with transportation management systems or network planning tools - Experience influencing stakeholders at varied levels without direct authority 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, WA, Bellevue - 85,800.00 - 128,600.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles