Business Intelligence Engineers required to join leading Ecommerce group, you will be the driving force powering the team's data, engineering and analytical needs. You will be involved in EU-wide strategic projects to drive growth and reduce cost-to-serve working with product managers, data engineers/scientists across many partner teams spanning across Retail/3P, Finance, Tech, Ops and/or your worldwide counterparts. In this fast-paced environment, the individual should display strong flexibility and work ethic, along with deep business and analytical acumen, with experience working with technology and engineering teams. This position requires the ability to set up data pipelines, create visualizations and dive deep large amounts of data, coupled with the desire to influence key strategic decisions with data-driven analysis. Additionally, the ideal candidate should be able to manage multiple projects/workstreams at a time and be able to handle a high level of ambiguity. Supporting the full product roadmap, your responsibilities will include: • Engaging with stakeholders in constructive dialogues to convert problem statements into logical problems that can be solved with data and scripting. • Be an integral part of the design process for new initiatives and workstreams. You will apply your business sense to help bring the vision to life. • Designing, developing, and implementing scalable, automated processes for big data extraction, processing, and analysis. • Supporting the development on new reports/dashboards to inform business reviews, business case modeling for new initiatives, tracking of inputs/outputs, and more emerging strategy efforts. • Design, build and maintain end-to-end data pipelines to scale and automate our processes. • Build insights-oriented visualization tools (e.g., Quicksight, Tableau, Excel) to enhance existing ways to empower the team and partner teams. • Help develop, upskill and empower team members through trainings and efficient knowledge management. BASE QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with SQL - Experience in the data/BI space for full details please contact Katie Collins