BI Engineer, Logistics Analytics

Amazon; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Amazon Logistics is seeking a Business Intelligence Engineer to develop and support BI and operations reporting for a fast-growing, global delivery network. You will design, implement, and operate data pipelines from production systems into a data warehouse and end-user applications.

You will collaborate with Operations, Analytics, HR, and Tech teams to translate business questions into data-driven solutions, and to drive improvements in on-time delivery and cost efficiency.

Qualifications

• 3+ years of analyzing and interpreting data with data warehouses like Redshift/Oracle/NoSQL.
• Experience with data visualization tools such as Tableau or Quicksight.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience in Statistical Analysis packages such as R, SAS and Matlab.
• SQL querying and Python scripting for data processing and modeling.

Responsibilities

• Partner with internal stakeholders to gather requirements and deliver end-to-end BI solutions.
• Collaborate with Data Engineering and Software teams to prioritize BI development needs.
• Work with cross-functional teams to identify new BI capabilities and projects.
• Lead and develop a team of BI Engineers and Analysts.
• Conduct deep-dive investigations into operations and business problems and implement solutions.
• Analyze and visualize large-scale logistics and transaction data and produce actionable insights.
• Develop queries and visualizations for ad-hoc requests and ongoing reporting.

Skills

SQL

Data Visualization

ETL Pipelines

Python

R/SAS/Matlab

Education

Master's degree in BI/engineering/CS

Tools

Tableau/Quicksight

Redshift/Oracle/NoSQL

Job description

Amazon Logistics is seeking a Business Intelligence Engineer to develop and support BI and operations reporting for a fast-growing, global delivery network. You will design, implement, and operate data pipelines from production systems into a data warehouse and end-user applications.

You will collaborate with Operations, Analytics, HR, and Tech teams to translate business questions into data-driven solutions, and to drive improvements in on-time delivery and cost efficiency.