Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing

ENGINEERINGUK; London; On-site; GBP 45,000 - 85,000; Full time

Job summary

Join a forward-thinking company as a Senior Business Intelligence Engineer, where you'll shape the future of online shopping through data-driven insights. In this pivotal role, you'll analyze customer journeys, create automated reporting solutions, and collaborate with product teams across Europe. Your analytical expertise will drive strategic decisions that enhance the shopping experience for millions. If you're passionate about turning complex data into actionable insights and eager to tackle new challenges in a dynamic environment, this opportunity is for you.

Qualifications

• 5+ years of experience in data analysis and communication with senior leadership.
• Strong skills in data visualization and automation scripting.

Responsibilities

• Lead analyses to uncover customer behavior insights and improve shopping experiences.
• Develop personalisation strategies and validate models through A/B testing.

Skills

Data Analysis

Customer Experience Analysis

Statistical Analytics

A/B Testing

Data Visualization

Communication with Stakeholders

Education

Master's degree in statistics or data science

Bachelor's degree in a quantitative field

Tools

SQL

Python

Tableau

QuickSight

AWS Redshift

Spark SQL

AWS Lambda

React.js

Job description

Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing

Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with Item Data Quality innovation to improve how millions discover and shop for products. We're expanding our analytics charter into exciting new territory, and need an analytical mind who loves turning data into actionable insights.

In this unique role, you'll investigate the full customer journey through deep-dive reports and comprehensive analysis. Working closely with product managers, you'll analyse everything from search patterns to product discovery behaviours, visualisation feature adoption, and detail page engagement. You'll build automated reporting solutions, design and analyse experiments that validate new ideas, and create sophisticated dashboards that drive decisions. Through your analytical rigor and clear documentation, you'll help ensure millions of customers can easily find and trust the product information they need.

This position offers rare opportunity to create lasting impact at scale. You'll work with best-in-class tools to build automation solutions that transform how teams work, while collaborating with product teams across Europe to turn insights into action. Your analysis and recommendations will influence strategic decisions and drive real improvements to the shopping experience. If you're passionate about turning complex data into clear stories that solve real problems, and excited to learn from world-class teams while tackling new challenges, we want to talk to you.

Key job responsibilities

1. Lead deep-dive analyses to uncover customer behaviour insights across strategic shopping experiences, including detail page engagement patterns, visualisation feature adoption, and search interaction flows.
2. Partner with EU Retail leadership to analyse and understand core strategic shopping missions, developing analytical frameworks that shape search and browse experiences for key retail segments.
3. Develop and implement detail page personalisation strategies, including context-based product recommendations.
4. Validate new personalisation models through A/B testing and deep dive analytics, measuring impact on customer engagement and conversion metrics.
5. Create and maintain business-critical P0s and QuickSight dashboards providing real-time visibility into CX & IDQ performance, enabling data-driven decisions across EU markets.
6. Partner with cross-functional teams to identify improvement opportunities through data analysis and experimentation.
7. Drive improvements in product data quality by identifying gaps through automated monitoring and analytical deep dives.
8. Present complex analytical findings to senior leadership, influencing strategic decisions and prioritisation of CX/IDQ initiatives.
9. Mentor team members on analytics best practices and foster data-driven decision making across the organisation.

About the team

The EU Hardlines Customer Insights & Analytics team consists of five technical experts - four Business Intelligence Engineers and one Research Specialist - driving data innovation across Amazon's European stores. Our vision is for all prospective Hardlines customers to be inspired to shop through highly relevant, personalised, and aspirational experiences, powered by best-in-class understanding of customer behavior and automation.

Our work spans multiple technical disciplines: from deep-dive analytics using SQL and Spark SQL for large-scale data processing, to building automated marketing solutions with Python, Lambda, React.js, and leveraging internal personalisation toolkits to create and deploy new product recommendation strategies. The team combines quantitative analysis with qualitative customer research to drive improvements, using automated reporting solutions to validate results and support next step definition.

BASIC QUALIFICATIONS

1. Experience managing, analyzing and communicating results to senior leadership.
2. Experience with data visualization using Tableau, Quicksight, or similar tools.
3. Experience in scripting for automation (e.g. Python) and advanced SQL skills.
4. Experience programming to extract, transform and clean large (multi-TB) data sets.
5. Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
6. Experience working directly with business stakeholders to translate between data and business needs.
7. Experience working as a BIE in a technology company.

PREFERRED QUALIFICATIONS

1. Master's degree in statistics, data science, or an equivalent quantitative field.
2. Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
3. Experience with theory and practice of information retrieval, data science, machine learning and data mining.
4. Experience with theory and practice of design of experiments and statistical analysis of results.
5. Experience with Python, Spark SQL, QuickSight, AWS Lambda & React.js - Core tools of team.

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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.