Taro Logo

Business Intelligence Engineer - 12 months contract, S&OP - EU SWA

Amazon is a global technology and e-commerce company known for innovation in retail, cloud computing, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics

Description For Business Intelligence Engineer - 12 months contract, S&OP - EU SWA

We're seeking a Business Intelligence Engineer for a 12-month Fixed Term Contract to join Amazon's Ship With Amazon (SWA-EU) Sales & Operations Planning Analytics team. This role combines advanced analytics with practical business applications to optimize First Mile (FM) and Middle Mile (MM) network operations. The position offers an opportunity to work with large-scale data systems and develop forecasting solutions that directly impact operational efficiency.

The role involves leading the development of analytical solutions for network optimization, including route planning and capacity utilization models. You'll be responsible for creating and maintaining advanced forecasting models that ensure optimal resource allocation across the SWA-EU network. Working with cutting-edge tools and technologies, you'll build automated reporting systems and interactive dashboards using SQL, Python, and various visualization tools.

As a Business Intelligence Engineer, you'll collaborate closely with cross-functional teams to identify operational challenges and provide data-driven solutions. The position requires expertise in SQL, data visualization tools, and experience with data modeling and ETL pipelines. Knowledge of AWS solutions is a plus.

This role is based in London and offers the opportunity to work with one of the world's leading technology companies. You'll be part of a team that's transforming logistics operations through data-driven insights and analytical excellence. The position is ideal for someone who combines strong technical skills with business acumen and wants to make a significant impact on Amazon's logistics network optimization.

Last updated 12 minutes ago

Responsibilities For Business Intelligence Engineer - 12 months contract, S&OP - EU SWA

  • Lead development and optimization of analytical solutions for SWA's First Mile and Middle Mile network
  • Design and maintain advanced forecasting models for volume prediction and capacity planning
  • Create and automate comprehensive reporting systems and interactive dashboards
  • Partner with cross-functional teams to identify operational challenges and conduct deep-dive analyses

Requirements For Business Intelligence Engineer - 12 months contract, S&OP - EU SWA

Python
  • 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
  • Experience using SQL and Python to process data for modeling

Interested in this job?

Jobs Related To Amazon Business Intelligence Engineer - 12 months contract, S&OP - EU SWA

Business Intelligence Engineer, Customer Engagement Technology

Business Intelligence Engineer role at Amazon focusing on data analytics and experimentation for Customer Service operations, offering competitive pay and benefits.

Business Intel Engineer II, Canada Transportation Team

Business Intelligence Engineer II position at Amazon's Canada Transportation team, focusing on data analysis and optimization of logistics operations with competitive compensation and benefits.

Data Engineer, Supply Chain Simulation, SCOT Simulation

Data Engineer role at Amazon's Supply Chain Optimization Technology team, building and maintaining data pipelines for supply chain simulation systems.

Business Intelligence Engineer, Last Mile Delivery and Technology

Business Intelligence Engineer role at Amazon focusing on last-mile delivery optimization through data analysis and quality improvement initiatives.

Data Engineer II, DBS BI

AWS is seeking a Data Engineer II to build and maintain data engineering and BI systems, working with big data technologies and providing insights to senior leadership.