AI-Driven Forecasting BI Engineer

Amazon; Bellevue (WA); On-site; USD 96,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Paid time off

401(k) plan

Parental leave

Job summary

Amazon.com Services LLC is seeking a Business Intelligence Engineer to own the data architecture and reporting infra for forecasting inputs (UPB, DDF, CPP) across US and international marketplaces. You will build automated pipelines, develop AI-assisted workflows, and partner with researchers to validate models and drive business impact.

The role includes designing self-service dashboards, integrating cross-domain data, and driving data quality improvements for large-scale forecasting.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 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
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

Responsibilities

• Own the data architecture and reporting infrastructure for UPB, DDF, and CPP forecasting inputs across US and international marketplaces
• Build and maintain automated pipelines that produce weekly forecast bridges, variance decompositions, and accuracy tracking consumed by leadership (WBR, QBR, OP cycles)
• Develop AI-assisted analytical workflows that automate recurring analyses, anomaly detection, and root-cause investigation across large-scale forecasting datasets
• Partner with research scientists and economists to validate model outputs, backtest forecast accuracy, and translate model improvements into business impact ($M attribution)
• Design and build self-service dashboards and data products that enable product managers and scientists to independently explore forecast performance without ad-hoc requests
• Mine and integrate data across simulation results, log files, fulfillment systems, and transportation datasets to identify trends, quantify risks, and support planning decisions
• Drive data quality improvement projects — defining data contracts, monitoring freshness/completeness, and building alerting systems that surface issues before they reach downstream consumers
• Collaborate with software development teams to implement analytics systems and data structures that support ML model delivery and large-scale experimentation

Skills

SQL

ETL pipelines

Data analysis

Tableau/Quicksight

Python scripting

R/SAS/Matlab

NoSQL/Redshift

ML/AI tooling

Data modeling

Data warehousing

Tools

Tableau/Quicksight

Redshift

Job description

Amazon.com Services LLC is seeking a Business Intelligence Engineer to own the data architecture and reporting infra for forecasting inputs (UPB, DDF, CPP) across US and international marketplaces. You will build automated pipelines, develop AI-assisted workflows, and partner with researchers to validate models and drive business impact.

The role includes designing self-service dashboards, integrating cross-domain data, and driving data quality improvements for large-scale forecasting.