Senior Business Intelligence Engineer, EMEA

Amazon Business EU SARL (UK) - H91
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Solution Engineer - Remote in UK or France (all genders)

Head of Artificial Intelligence

Head of Artificial Intelligence

Solution Architect

Senior Machine Learning Engineer

Senior Electronic Design Engineer

Amazon is looking for analytical and technically skilled Business Intelligence Engineers (BIE) to join our hiring teams.
This role requires an individual with analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.
We are hiring for various Amazon Tech Hubs in Luxembourg and London with a possibility of other locations. Amazon will support your relocation. Come build the future with us!

Key job responsibilities
Our teams are looking for experienced Senior Business Intelligence Engineers with experience in quantitative analysis, econometrics, applied statistics, and/or machine learning to dive deep into business problems.

What are our BIEs at Amazon responsible for:

- BIEs build out a variety of analytics. As a BIE, you’ll define key performance indicators (KPIs), automate data pipelines, and create reports, dashboards, and visualizations.
- BIEs understand statistics, data warehousing, and Extract, Transform, and Load, (ETL), and they are proficient in SQL.
- BIEs are able to work with ambiguous data, using advanced SQL and scripting to come up with answers that may not be immediately obvious.
- BIEs are able to translate between business needs and data, and are able to create actionable insights for their stakeholders.

During the interview process, you will be assessed on several technical competencies for BIE. If you want to start preparing for the interview, please have a look to this link, with all resources on BIE interview preparation:

A day in the life
- Leverage techniques from econometrics, computer science and statistics to measure vendor experience and its impact on their engagement and economics
- Drive development of tools, reporting improvements, and automation, and create new innovative and insightful reports.
- Support the functional teams with ad hoc data requests and analytical needs.
- Partner with other science leaders throughout Amazon to effective solutions.

About the team
Current hiring teams are diverse organizations with employees across Europe and with partner teams around the globe. This role can be based in London or Luxembourg.
We offer the opportunity to learn more about teams during the recruitment process and successful candidates will have one to one calls with the teams they are more interested in!

BASIC QUALIFICATIONS

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space

PREFERRED QUALIFICATIONS

- Experience managing, analyzing and communicating results to senior leadership
- Experience programming to extract, transform and clean large (multi-TB) data sets

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.