Fulfillment Analytics BI Engineer | Build AI Pipelines

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

Benefits offered by this job

Health insurance

401(k) matching

RSUs

Job summary

Amazon’s Fulfillment Optimization team seeks a Business Intelligence Engineer to architect data pipelines and build automated reporting for LA, IRA, and DLA forecasting inputs across US and international markets.

You will develop AI-assisted workflows, validate model outputs with researchers, and deliver self-serve dashboards enabling product managers and scientists to explore forecast performance with minimal ad-hoc requests.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL proficiency

Python scripting

Data visualization

Statistical analysis

ETL pipelines

Tools

AWS Redshift

Tableau

Quicksight

Job description

Amazon’s Fulfillment Optimization team seeks a Business Intelligence Engineer to architect data pipelines and build automated reporting for LA, IRA, and DLA forecasting inputs across US and international markets.

You will develop AI-assisted workflows, validate model outputs with researchers, and deliver self-serve dashboards enabling product managers and scientists to explore forecast performance with minimal ad-hoc requests.