Forecasting & Inventory Analytics Engineer II

Amazon Inc.; Bellevue (WA); On-site; USD 100,000 - 160,000; Full time

Job summary

Amazon.com Services LLC in Bellevue, WA, is seeking a data/BI engineer to develop dashboards, data models, and automated reporting for long-term planning and forecasting. You will collaborate with cross-functional teams to surface insights that guide Topline, Inventory, and Capacity decisions and improve algorithms and data quality.

The role emphasizes hands-on data analysis, ETL pipelines, and adoption of AI-driven improvements; experience with Redshift, SQL, and visualization tools is

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Responsibilities

• Develop and maintain analytical dashboards, reports, and data pipelines using Amazon QuickSight, SQL, and AWS services to track forecast performance across Topline, Inventory, and Capacity planning — following established architectural patterns and team standards to ensure solutions are reliable and well-documented
• Collaborate with scientists, engineers, and product managers to gather requirements and deliver data solutions that surface root-cause insights — escalating trade-offs and prioritization decisions to senior team members when needed
• Build and maintain data models, ETL processes, and automated reporting mechanisms that enable data-driven decision making — optimizing for performance and reliability within the team's existing frameworks
• Leverage generative AI tools and techniques to accelerate insight generation and automate reporting workflows, contributing ideas for new AI-driven improvements to the team's analytical processes
• Conduct deep-dive analyses to identify trends, patterns, and opportunities for improvement — delivering clear findings on well-scoped business questions and contributing to analyses on more complex or ambiguous problems with guidance from senior team members
• Proactively identify data quality issues, dependencies, and bottlenecks — troubleshooting and resolving issues within scope and escalating broader systemic problems with clear documentation
• Own and deliver medium-complexity projects from start to finish — developing project plans, tracking milestones, and communicating findings clearly to team leads and stakeholders
• Adopt and champion team best practices in data modeling, metric definitions, and code quality — proactively identifying opportunities to improve processes and tools within your area of ownership
• Support onboarding of new team members and contribute to knowledge-sharing initiatives; participate in hiring loops and technical assessments as a bar raiser candidate (with development support)

Skills

Data analysis

SQL

Python scripting

Statistical analysis

ETL development

Data visualization

Data modeling

Tools

Tableau

Quicksight

AWS Redshift

Oracle

NoSQL

Job description

Amazon.com Services LLC in Bellevue, WA, is seeking a data/BI engineer to develop dashboards, data models, and automated reporting for long-term planning and forecasting. You will collaborate with cross-functional teams to surface insights that guide Topline, Inventory, and Capacity decisions and improve algorithms and data quality.

The role emphasizes hands-on data analysis, ETL pipelines, and adoption of AI-driven improvements; experience with Redshift, SQL, and visualization tools is