Business Intelligence Engineer, Global Transportation Services

Amazon • Bellevue, WA

1d • Onsite

About The Position

As a Business Intelligence Engineer on the Global Transportation Services (GTS) team, you will support data analytics and reporting solutions for the North American Transportation business. Working with guidance from senior BIEs and your manager, you will help build analytical solutions that drive decision-making across the team. You will contribute to data engineering and analytics efforts, help resolve data quality issues, and maintain reporting infrastructure that provides value to internal and external customers. The team supports U.S. network "speed of delivery" analytics, driving the business and experience customers demand today and for years to come. This is a collaborative team environment where you will receive mentorship and grow your technical and analytical skills.

Requirements

• 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
• Experience with scripting language (e.g., Python, Java, or R)
• Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field

Nice To Haves

• Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with statistical methods like t-test or Chi-square
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)
• Knowledge of version control systems, eg., Perforce, Git
• Experience in transportation or supply chain

Responsibilities

• Develop and maintain data solutions, pipelines, and analytics using established patterns and frameworks
• Write and optimize SQL queries and Python scripts using AWS technologies to support data processing jobs
• Collaborate with team members and stakeholders to support translating business needs into data-driven insights
• Conduct analyses to support operational decision-making, escalating complex findings to senior team members
• Maintain and improve reporting infrastructure and documentation with guidance from senior engineers

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level