DE Jobs

Search from over 2 Million Available Jobs, No Extra Steps, No Extra Forms, Just DirectEmployers

Job Information

Amazon Senior Business Intelligence Engineer, EMEA in Luxembourg, Luxembourg

Description

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: https://amazon.jobs/content/en/how-we-hire/bie-interview-prep

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!

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

Basic Qualifications

  • Experience programming to extract, transform and clean large (multi-TB) data sets

  • Experience with 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 theory and practice of information retrieval, data science, machine learning and data mining

  • 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

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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

DirectEmployers