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Business Intelligence Engineer III Supply Chain & Integration

Amazon

Greater São Paulo AreaOn Site

Original Job Summary

About the Role

The Business Intelligence Engineer III Supply Chain & Integration at Amazon is based in São Paulo. The role requires a dynamic, analytical, and innovative individual with a relentless customer focus. You will work on complex data systems optimizing the supply chain, ensuring cost efficiency, rapid deliveries and operational effectiveness.

Key Job Responsibilities

  • Implement continuous improvement projects in logistics using performance metrics.
  • Develop unified reports for proactive exception management and visibility.
  • Create audit tools and consolidated reports to identify bottlenecks.
  • Automate manual processes and implement self-service tools for productivity.
  • Audit operations with enhanced analysis for cost and delivery speed.
  • Conduct international benchmarks to adapt best practices locally.

About the Team

You will join a team of data engineers, project managers, and data scientists dedicated to creating scalable, innovative logistics solutions for Amazon in Brazil.

Basic Qualifications

  • Bachelor's Degree.
  • Advanced SQL expertise and data infrastructure management.
  • Proficiency in visualization tools (Tableau, QuickSight, Power BI).
  • Advanced English.

Preferred Qualifications

  • Experience with AWS QuickSight, Tableau, R Shiny.
  • Knowledge of AWS Redshift, S3, EC2, Glue.
  • Leadership and mentoring in data science teams.
  • Experience in logistic optimization models.

Key skills/competency

  • SQL
  • Data Analysis
  • ETL
  • Tableau
  • AWS
  • Logistics
  • Optimization
  • Automation
  • Benchmarking
  • Visualization

How to Get Hired at Amazon

🎯 Tips for Getting Hired

  • Customize your resume: Highlight SQL and AWS expertise.
  • Showcase project experience: Emphasize supply chain improvements.
  • Research Amazon: Understand their logistics and data culture.
  • Prepare for technical tests: Practice SQL and data analytics.

📝 Interview Preparation Advice

Technical Preparation

Review advanced SQL queries.
Practice ETL process tasks.
Familiarize with AWS Redshift and Glue.
Work on data visualization dashboards.

Behavioral Questions

Describe a supply chain project you led.
Explain handling complex data problems.
Discuss overcoming project obstacles.
Outline teamwork in fast-paced settings.