Business Intelligence Engineer II, Intelligence & Industrialization ID-1407
About the position
The Business Intelligence Engineer II (BIE II) role within the Intelligence & Industrialization (I&I) team focuses on providing data analytics, business intelligence, and software configuration support to stakeholders in Global Supply Chain and Transportation Procurement (GSCTP) and Amazon Customs & Trade (ACT). The position involves analyzing and improving metrics and dashboards to facilitate customs brokerage operations, ensuring timely clearance of goods for cross-border transportation. The BIE II will collaborate with various internal teams, communicate effectively with business owners, and develop scalable ETL pipelines to support data-driven decision-making.
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- Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions.
- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation.
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
- Collaborate with team members on reporting datasets; review and raise code reviews (PL/SQL and Python).
- Work with technology and analytics teams to support the development of tools, automation, and dashboards.
- Communicate with and support various internal stakeholders and external audiences.
Requirements
- Experience writing complex SQL queries.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
Nice-to-haves
- Experience with forecasting and statistical analysis.
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
- Experience with AWS solutions such as Glue, Lambda, SES, Athena, and SageMaker; experience with PySpark and Spark SQL.
Benefits
- Medical, financial, and other benefits including equity and sign-on payments.
- Comprehensive employee benefits package.