

Business Intelligence Engineer - 12 Month FTC, E2E V RET Transportation
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Business Intelligence Engineer on a 12-month FTC, focusing on E2E Vendor Returns in transportation. Key skills include SQL, data visualization (Tableau), and experience with Redshift and Python. A Master’s degree is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 6, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #SQL (Structured Query Language) #Data Analysis #BI (Business Intelligence) #Scripting #Security #Oracle #"ETL (Extract #Transform #Load)" #Data Pipeline #Redshift #Data Modeling #Python #Tableau #Visualization #NoSQL #Java #R #Data Quality #Documentation
Role description
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Description
This role is a 12 month fixed term contract.
The Speed and Service Programs team is part of EU STEP (Supply Chain, Transportation Planning & Operational Excellence). Structure aims to deliver greater efficiency, faster execution, and sustainable growth.
The Speed and Service Programs team is responsible for One-Day plus (1D+) Speed, Delivery Estimate Accuracy (DEA), and On Road Delivery Service. This consolidation creates a unified DEA and Speed organization, enabling improved performance in our two critical customer metrics. The Speed team champions 1D, 2D and 3D+ delivery speed across EU5 and Expansion countries providing a link between Stores and operations. It enables improved on-time performance, measured through DEA, across EU13, by leveraging synergies from the end to end (E2E) DEA programs, the CF DEA organization Global Operational Excellence (GOX) and the AMZL DEA team. The team continues to support talent programs and talent planning.
Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.
• Work with program managers and partner with Operations, Finance, Technology, Change Management and Customer Experience teams in understanding the business requirements and implementing solutions to support analytics and reports.
• Conduct ad hoc data analysis and data quality investigations.
• Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.
• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
• Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models
• Understanding of Amazon’s data resources, which to use, how, and when
About The Team
E2E Vendor Returns is responsible for transportation of returns to FBA sellers or Retail vendors, liquidations and donations. The scope of the team includes the EU, UK and TR.
The program includes two functional areas: i) operations execution (network design, transportation capacity, carrier management) and ii) process improvement (definition and implementation of cost saving initiatives and E2E process improvement).
Basic Qualifications
• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with scripting language (e.g., Python, Java, or R)
• Experience with SQL
• Experience in the data/BI space
Preferred Qualifications
• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy\_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Company - Amazon UK Services Ltd. - A10
Job ID: A3051685