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

Amazon; London; On-site; GBP 45,000 - 55,000; Full time

Job summary

A leading e-commerce company in London is seeking a Data Analyst to design and maintain analytical systems that support decision-making. The ideal candidate should have extensive experience in data analysis and visualization tools, as well as strong SQL and scripting skills. This role involves working collaboratively with multiple stakeholders to enhance reporting capabilities and insights. Competitive salary and career development opportunities are offered.

Qualifications

• Experience in analyzing and interpreting data with major databases.
• Experience with data visualization tools.
• Experience with a scripting language.
• Experience with SQL.
• Experience in the data/BI space.

Responsibilities

• Design, develop and maintain user-friendly systems and dashboards.
• Work with multiple teams to implement solutions.
• Conduct ad hoc data analysis.
• Implement training on reporting tools.
• Analyze historical data to identify trends.

Skills

Data analysis

SQL

Data visualization

Scripting (Python, Java, R)

Data interpretation

Education

Master's degree or Advanced technical degree

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

Job description

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

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