Business Analyst, North America Surface Transportation Customer Experience (NAST CX)

Amazon

Bellevue, WA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Business Analysis, Channel Strategies, Cross-Functional, Customer Experience, Customer/Client Research, Data Management, Data Sets, Data Visualization Tools, Database Extract Transform and Load (ETL), Finance, Financial Analysis, Forecasting, Logistics, Metrics, Microsoft Visual Basic for Applications (VBA), Model Validation, Modeling Languages, Pattern Matching, Pivot Tables, Predictive Modeling, Problem Solving Skills, Product Programs, Project/Program Management, Query Optimization, Requirements Management, Root Cause Analysis, SQL (Structured Query Language), Scripting (Scripting Languages), Strategic Analysis, Strategic Planning, Tableau, Trend Analysis
LOCATION
Bellevue, WA
POSTED
30+ days ago
Description Amazon's North America Surface Transportation Customer Experience team is seeking a Business Analyst to support data-driven decision making that improves the delivery experience for millions of customers. In this role, you will be responsible for designing, building, and maintaining analytical frameworks, products, and deep-dive analyses that illuminate customer experience trends, identify root causes of defects, and quantify the impact of product and operational initiatives across our surface transportation network. You will serve as a key analytical partner to Product Managers, Program Managers, and Operations leaders - translating complex transportation and customer data into clear, actionable insights. The ideal candidate is passionate about using data to tell stories, thrives in ambiguity, and is energized by working at the intersection of customer experience and large-scale logistics. Key job responsibilities - AI-Assisted Analysis: Leverage generative AI tools and large language models (e.g., Amazon Bedrock, Amazon Q) to accelerate data exploration, pattern recognition, and insight generation across large, complex data sets - Predictive Analytics: Partner with science teams to develop and validate predictive models that forecast customer experience outcomes such as delivery delays, contact rate spikes, and defect trends across the surface transportation network - Automated Insight Generation: Build and refine AI-assisted workflows that automate recurring analyses, anomaly detection, and narrative summarization to reduce manual effort and accelerate time-to-insight - AI Tool Evaluation & Adoption: Stay current on emerging AI/ML tools and capabilities; evaluate and champion new AI-powered analytics solutions that can enhance the team's analytical capabilities and decision-making speed - Data Pipelines: Write and optimize SQL queries across large-scale data sets; build ETL pipelines to automate recurring data workflows - Scalable Solutions: Identify opportunities to automate manual reporting and analysis processes using AI and scripting tools, improving team efficiency and data reliability - Cross-Functional Collaboration: Partner closely with Product Managers, Program Managers, Science, Engineering, and Operations teams to provide analytical support for strategic initiatives Basic Qualifications - 3+ years of tax, finance or a related analytical field experience - 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with Excel - Experience with SQL - Experience making business recommendations and influencing stakeholders Preferred Qualifications - Experience partnering with executive-level leaders to identifying and solving business issues 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, GA, Atlanta - 74,300.00 - 130,100.00 USD annually USA, WA, Bellevue - 82,700.00 - 130,100.00 USD annually

About the Company

A

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