We're seeking a Business Intelligence Engineer (12-month Fixed Term Contract) to join our Ship With Amazon (SWA-EU) Sales & Operations Planning Analytics team. In this role, you'll leverage advanced analytics to optimize our First Mile (FM) and Middle Mile (MM) network operations and develop forecasting solutions to enhance operational efficiency. This role will also have
partnership with internal tech and data engineering teams, where you'll optimize data infrastructure and broaden access to customer insights. Your focus will be on developing best practices for data integrity, consistency, validation, and documentation to ensure high-quality, accessible data.
Contract Duration: 12 months Fixed Term Contract
Location: London
Join us in transforming SWA-EU's operations through data-driven solutions and analytical excellence.
Key job responsibilities
• Lead the development and optimization of analytical solutions for SWA's First Mile and Middle Mile network, including route planning, capacity utilization models, and network design simulations to drive operational efficiency.
• Design and maintain advanced forecasting models for accurate volume prediction and capacity planning, ensuring optimal resource allocation and network performance across the SWA-EU network.
• Create and automate comprehensive reporting systems and interactive dashboards using SQL, Python, and visualization tools to monitor key operational metrics, track KPIs, and provide actionable insights to stakeholders.
• Partner with cross-functional teams to identify operational challenges, conduct deep-dive analyses, and deliver data-driven recommendations that support strategic decision-making and network improvements.
- Knowledge of SQL and data warehousing concepts
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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