Business Intelligence Engineer

Amazon; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Amazon seeks a Business Intelligence Engineer to join the JP Economics and Decision Science team. In this role, you will collaborate with scientists to build statistical and machine learning models, drive business insights, and work closely with senior leaders to address critical retail challenges. The position requires strong SQL, data analysis techniques, and the ability to translate business needs into actionable data strategies.

Qualifications

• 5+ years of SQL experience.
• 8+ years of analytical experience.
• Experience with data science, machine learning, and data mining.

Responsibilities

• Drive business changes through data insights to influence retail business.
• Analyze data and collaborate with Product Managers to understand customer behaviors.
• Design scalable model architectures and maintain automated pipelines.

Skills

SQL

Data Analysis

Machine Learning

Data Science

Python

Data Mining

Tools

AWS

Job description

The JP Economics and Decision Science team is a central science team working across a variety of topics in the Retail business and beyond. We work closely with business leaders to drive change at Amazon. We focus on solving long-term, ambiguous, and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic/econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making.

We are looking for a Business Intelligence Engineer to work alongside our Scientists to build statistical and ML models, and work directly with senior leaders to tackle their most critical problems in Retail business.

Key job responsibilities

1. Drive business changes through data insights to influence a wide range of retail business inputs.
2. Explore and analyze data, collaborate with Product Managers to understand customer behaviors, and develop complex data pipelines.
3. Work closely with scientists to design scalable model architectures, identify appropriate metrics and feature sets, and build/maintain automated pipelines for data extraction.
4. Foster a culture of continuous engineering improvement through mentoring and feedback.

Minimum qualifications

• 5+ years of SQL experience.
• Experience programming to extract, transform, and clean large (multi-TB) data sets.
• Experience with the theory and practice of design of experiments and statistical analysis of results.
• Experience with AWS technologies.
• Experience in scripting for automation (e.g., Python) and advanced SQL skills.
• Experience with data science, machine learning, and data mining.
• 8+ years of analytical experience.

Additional qualifications

• Experience working directly with business stakeholders to translate between data and business needs.
• Experience managing, analyzing, and communicating results to senior leadership.

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