Senior BI Engineer—Global Forecasting & Inventory Analytics

Amazon.com Services LLC; Bellevue (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

Amazon.com Services LLC is seeking a BI Engineer within the SCOT LTPF team to design, develop, and maintain scalable analytics solutions for forecasting and inventory planning.

You will partner with scientists, engineers, product managers, and cross-functional teams to deliver data-driven insights, build data models and ETL processes, and assess opportunities to apply generative AI to reporting workflows, while mentoring teammates and contributing to hiring.

Qualifications

• Experience designing and maintaining scalable data solutions.
• Proficient in SQL, data modeling, ETL, and reporting.
• Ability to mentor team members and participate in hiring.

Responsibilities

• Design, develop, and maintain scalable analytical solutions, dashboards, and data pipelines using Amazon QuickSight, SQL, and AWS services to track forecast performance.
• Partner with scientists, engineers, product managers, and cross-functional stakeholders to gather requirements and deliver data solutions.
• Build and optimize data models, ETL processes, and automated reporting mechanisms for data-driven decisions.
• Identify and implement opportunities to integrate generative AI into analytical tools and reporting workflows.
• Conduct analyses to identify trends and opportunities for improvement, leading analytics strategies.
• Identify data quality issues and drive resolution; escalate as needed.
• Lead large projects end-to-end with plans, milestones, and clear findings.
• Influence analytics strategy and drive best practices; mentor teammates and participate in hiring.

Skills

SQL

Data modeling

ETL

Dashboards

Data pipelines

Generative AI

Mentorship

Tools

Amazon QuickSight

Job description

Amazon.com Services LLC is seeking a BI Engineer within the SCOT LTPF team to design, develop, and maintain scalable analytics solutions for forecasting and inventory planning.

You will partner with scientists, engineers, product managers, and cross-functional teams to deliver data-driven insights, build data models and ETL processes, and assess opportunities to apply generative AI to reporting workflows, while mentoring teammates and contributing to hiring.