3P Transportation Business Analyst, EU 3P Transportation Operations 3P T&SB

We are looking for a curious analytically-minded Business Analyst to join our 3P Transportation Execution team on a 12-month fixed-term this role you will own and deliver analytical and automation projects that contribute to the overall 3P Transportation and wider Amazon business goals generating lasting efficiency gains for the organisation.

You will work with large complex datasets to identify patterns surface opportunities and build automated solutions that reduce manual effort across the network. Depending on business need the role may involve developing analytics in areas such as Quality Management Capacity Planning Speed Enhancement or Continuous Improvement across our 3P carrier network.

The role involves partnering with Program Managers and senior stakeholders to translate business requirements into analytical deliverables. You will build collaborative relationships scope projects autonomously and drive outcomes through data.

The ideal candidate will be comfortable working in a fast-paced ambiguous and ever-changing environment. You will remain calm under pressure distil complexity into clear insights and actively seek to invent and simplify. You will have a bias for action moving quickly to deliver data-driven solutions. You will embrace AI and automation including agentic technologies to remove manual processes generate insights at scale and unlock new ways of working. Above all you will work tirelessly to improve the customer experience and raise the bar on behalf of the customers we serve.

Key job responsibilities
Core Responsibilities
Use data to generate observations hypotheses and actionable insights deep diving into performance metrics operational data and forecasting models to identify root causes and improvement opportunities
Build automated reporting dashboards and analytical tools using SQL Python and internal platforms (QuickSight AWS services)
Scope test and deploy AI-driven solutions that reduce manual processes and augment team capacity
Leverage AI automation and agentic technologies to enhance productivity and deliver scalable solutions
Support OP planning cycles with data analysis forecasting and scenario modelling
Partner with Program Managers and senior stakeholders to translate business requirements into analytical deliverables
Present findings and recommendations clearly to technical and non-technical audiences
Manage project timelines and deliverables autonomously escalating risks proactively
Depending on business need the role may involve developing analytics in one or more of the following areas:

Quality Management analysing defect trends carrier performance data and customer satisfaction metrics to identify improvement levers
Capacity Management building models for carrier utilisation volume forecasting and readiness tracking
Speed Enhancement developing analytical frameworks to measure and improve delivery speed and promise adherence
Continuous Improvement identifying inefficiencies through data building automation to remove waste and measuring impact of improvement initiatives

About the team
This is a London/Milan-based role within the 3P Transportation Execution organisation. We fulfil hundreds of millions of units to customers every year from across our complex network. The team manages the relationships volume flows and execution of our AFN 3P carrier partners including Postal Parcel and Express carriers both domestically in-country and cross-border. 3P Transportation Execution is responsible for making sure these shipments are successfully delivered on time first time at the fastest speed in the ways our customers want them and at the lowest cost.
No visa sponsorship or relocation is available for this role.

- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience in a highly analytical results-oriented environment with cross functional interactions
- Knowledge of SQL
- Experience in one or more scripting languages (e.g. Python Ruby Perl)
- Experience with AI/ML technologies
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders

- Experience in automation and programming
- Experience using managed ML/AI solutions
- Experience in Amazon Redshift and other AWS technologies
- Experience in transportation operations and industry knowledge
- Experience managing projects and working independently
- Experience developing tools reports process maps scorecards and data visualizations that improve upon those currently employed for understanding the business and making decisions

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