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Business Intelligence Engineer - 12 month FTC, E2E V RET Transportation

Amazon UK Services Ltd. - A10

London

On-site

GBP 50,000 - 70,000

Full time

Yesterday
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Job summary

A leading e-commerce company is seeking a Business Intelligence Engineer for a 12-month fixed term contract in London. You will design and maintain automated reporting systems, analyze data, and collaborate with cross-functional teams. Ideal candidates have experience with data visualization tools, SQL, and scripting languages. This position offers an opportunity to make a significant impact in shaping data processes.

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.

Responsibilities

  • Design, develop and maintain systems and dashboards.
  • Work with program managers and various teams for analytics.
  • Conduct ad hoc data analysis and quality investigations.
  • Implement training for self-serve reporting tools.
  • Collaborate with software development teams.

Skills

Data analysis
Data visualization
Scripting languages (Python, Java, R)
SQL

Education

Master's degree or advanced technical degree

Tools

Redshift
Oracle
NoSQL
Tableau
Quicksight

Job description

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Business Intelligence Engineer - 12 month FTC, E2E V RET Transportation, London

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Client:

Amazon UK Services Ltd. - A10

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

883364a96db4

Job Views:

5

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

This role is a 12 month fixed term contract.

At Amazon, we are always exploring new opportunities to shape our global business. As a Programme Manager, you’ll be an essential part of innovating and transforming our processes. You’ll be taking the lead on the design and launch of new programmes for our customers. You’ll also oversee programmes that are already running and find ways to improve them. This is your opportunity to have a big impact on some of the most exciting new ideas that are shaping the future of Amazon.

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

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