AI-Driven Business Analyst for Logistics Insights

Amazon; Bellevue (WA); On-site; USD 83,000 - 130,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon.com Services LLC in Bellevue, WA is seeking a Business Analyst to drive data-informed decisions across surface transportation. You will design, build and maintain analytical frameworks, delivering insights on customer experience trends, root causes of defects, and impact of initiatives across the network.

The role partners with PMs, Program Managers, Science, Engineering and Operations to translate data into actionable outcomes, shaping business strategy with data storytelling and

Qualifications

• Bachelor's degree or equivalent in a related field.
• 3+ years of analytics, finance or related experience.
• Experience defining requirements and using data to draw business insights.
• Experience with SQL and data visualization tools.

Responsibilities

• AI-Assisted Analysis: leverage AI tools to accelerate data exploration and insight generation.
• Predictive Analytics: develop models forecasting delivery outcomes and defect trends.
• Automated Insight Generation: build AI-assisted workflows to automate recurring analyses.
• AI Tool Evaluation & Adoption: evaluate new AI analytics solutions to boost speed.
• Data Pipelines: write SQL, build ETL pipelines for recurring workflows.
• Scalable Solutions: automate reporting to improve efficiency and reliability.
• Cross-Functional Collaboration: partner with Product, Science, Engineering and Ops teams.

Skills

SQL

Data analysis

Stakeholder influence

Business analytics

Excel basic

Education

Bachelor's degree or equivalent

Tools

Tableau

Excel (VBA)

Pivot tables

Job description

Amazon.com Services LLC in Bellevue, WA is seeking a Business Analyst to drive data-informed decisions across surface transportation. You will design, build and maintain analytical frameworks, delivering insights on customer experience trends, root causes of defects, and impact of initiatives across the network.

The role partners with PMs, Program Managers, Science, Engineering and Operations to translate data into actionable outcomes, shaping business strategy with data storytelling and