AI-Powered Forecasting BI Engineer

Amazon; Bellevue (WA); Presencial; USD 100.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Descripción de la vacante

Amazon’s Fulfillment Optimization team seeks a Business Intelligence Engineer to architect data pipelines, automate reporting, and apply AI-powered tooling to accelerate insight generation at scale.

You will own data architecture for LA, IRA, and DLA forecasting inputs across US and international marketplaces, and build automated pipelines delivering weekly forecast bridges and variance analyses for leadership reviews.

Formación

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• 3+ years of SQL, ETL or Oracle experience.
• 3+ years of processing large, multi-dimensional datasets from multiple sources experience.
• 3+ years of performing statistical analysis experience.
• 3+ 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.

Responsabilidades

• Own the data architecture and reporting infrastructure for LA, IRA and DLA 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.

Conocimientos

Redshift/Oracle/NoSQL

SQL

ETL

Statistical analysis

Automated reporting

Data visualization

Python

Data modeling

R/SAS/Matlab

Herramientas

Tableau

Quicksight

Python

R

SAS

Matlab

Descripción del empleo

Amazon’s Fulfillment Optimization team seeks a Business Intelligence Engineer to architect data pipelines, automate reporting, and apply AI-powered tooling to accelerate insight generation at scale.

You will own data architecture for LA, IRA, and DLA forecasting inputs across US and international marketplaces, and build automated pipelines delivering weekly forecast bridges and variance analyses for leadership reviews.