Description

Are you ready to join Amazon, Earth's most customer-centric company, and play a key role in innovating on our critical Everyday Essentials selection? We want to be Europe’s premier destination for everyday essentials, offering customers unparalleled selection and a frictionless, on-demand shopping experience. Our North Star is to empower customers to effortlessly order their weekly needs in under a minute. We will redefine convenience and value in the everyday essentials category through relentless innovation, operational excellence, and an uncompromising commitment to customer satisfaction.

We are on the lookout for a seasoned Senior Business Intelligence Engineer to join our 3P team. You will be a key part of defining our selection strategy in this customer-critical selection, and lead in delivering scalable data engineering and analytics solutions. This role provides a unique opportunity to explore petabytes of data in one of the world's largest data lakes, employing cutting-edge tools and techniques.

Key job responsibilities

• Architect and automate ETL pipelines for business, CX and supply chain metrics.

• Spearhead deep dives into business hypotheses and anecdotes.

• Design insightful dashboards for a senior non-tech audience.

• Identify cost-out and Seller experience improvement opportunities.

• Contribute to key business documents.

• Lead the implementation of 3P Everyday Essentials EU analytics strategy.

• Collaborate with business stakeholders and tech teams across functions and geographies.

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

London, GBR | Manchester, GBR

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).