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