Business Intelligence Engineer II, Rapid and Rural Logistics
Core
Build and maintain QuickSight dashboards, Airflow data pipelines, and algorithmic data products to drive workforce training, labor allocation, and associate performance decisions.
Role type
Senior Business Intelligence Engineer (Data Engineering & Analytics)
Builds
Production dashboards, automated data pipelines, and algorithmic data products
Domain
Workforce analytics, logistics operations, and data engineering
Deliverable
dashboards & analysis
Required skills
SQL, Python, data visualization (QuickSight/Tableau), statistical analysis, ETL pipeline development, data modeling, Redshift, Oracle, NoSQL
Preferred skills
AWS solutions (EC2, DynamoDB, S3, Redshift), data mining, large-scale complex dataset management
Technologies
QuickSight, Airflow, Redshift, Oracle, NoSQL, Python, R, SAS, Matlab, Tableau, AWS
Responsibilities
Design and maintain QuickSight dashboards for workforce domains; Build and optimize Airflow DAGs for intraday data refresh; Develop and maintain algorithmic data products (ranking, optimization models); Onboard and maintain metrics in platforms like Perfect Mile; Monitor pipeline health and respond to incidents; Partner with program teams to translate requirements into analytical solutions; Integrate and transform data from multiple sources (KNET, Formulate, Qualtrics, etc.)
Seniority
Senior, hands-on IC