Are you interested in a high-impact role with exposure to senior leaders? The EU Process & Systems Engineering (PSE) Team is seeking a customer-focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in Fulfillment Center Operations. Collaborating closely with Amazon Operations and data teams, you will be responsible for developing analytics dashboards, deep-dive tools, and influencing product roadmaps using data, AWS services, and other insights sources.
Key job responsibilities
- Translate customer and business opportunities into innovative BI solutions, and demonstrate a passion for working with extensive datasets to drive data-driven decisions and build models that address critical questions for our stakeholders.
- Manage intake, coordinate and gather requirements from business partners to handle increased data volume and the demand for more cost-efficient and scalable data pipelines and tech solutions.
- Prioritize initiatives, design and implement technical solutions with appropriate strategies and design principles.
- Identify, design, and create data pipelines to feed BI tools and dashboards.
- Identify and develop metrics and KPIs, and translate them into insightful dashboards using BI tools (i.e. QuickSight).
- Data Warehousing & Data Engineering skills using AWS Services (S3, AWS Glue, Redshift, Lambda). API Data Ingestion
- Proficiency in SQL, Python (Java nice to have)
About the team
ACES Data Analytics Team (ADAT) supports the EU CF, EU ACES teams, EU ACES PMO, Ops, Process Engineering a by providing Data Products and horizontally scalable datasets to assist in answering the right business questions and tackle operational challenges with data. We strive for transparency and standardization of EU FC process performance and compliance metrics. Fully automated mechanisms for network performance and compliance rely on E2E input metrics portfolio is essential for model training, identification of root causes, and adequate onsite action.- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with SQL
- Experience in the data/BI space- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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