Joblift
Location
Saint Cloud, Hauts de Seine | France
Job description
Amazon Hardlines Private Brands is looking for a motivated Sr. Business Intelligence Engineer. WW Hardlines Private Brands Business Intelligence team powers the automation and influences the insight of newly created brands and products Worldwide. BIE in the team you will own our analytical tools, be responsible for designing, developing, and maintaining our data warehouse and build new business intelligence solutions end-to-end. You"ll work directly across all teams to provide valuable data-driven insights and recommendations. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards and data solutions that will support our analytical and business needs.
Identify technical solutions to solve the business problem including evaluation of platform/dashboard required, technical solution review, data design approach review, validation, code review, UAT testing and launch in line with best practices
Drive seamless data/reporting and insights to enable data backed decision making, and drive leadership clarity around business metrics by enabling MBRs/QBRs/Pillar reviews/OP1 discussions.
System Design, Functional Design, Data Flow Design) clearly articulating trade-offs in solution decisions and choices.
Use data science/statistical modelling tools in partnership with other BIEs and Data Scientists to develop next generation analytics.
The day in the life of a BIE would involve managing multiple BI projects in a particular/multiple domains (across business, pricing, deals or supply chain) for WW HPB across various stages of different projects. Day-to-day activities to include meetings across stakeholders on understanding business requirements, connecting with fellow BIEs to identify source data tables, brainstorming with Private Brand Intelligence (PBI) Tech team on potential technical solutions/actions, data design review with BIEs, sprint prioritization reviews, code review through Maestro with fellow BIEs and driving trainings/documentation/launch announcement as we get into launch.
We aim to work 70% of the time on Roadmap projects while the other 30% is dedicated to maintenance tasks and solving issues we could have in some of our data pipelines or data products. Those data products can vary from QuickSight Dashboards to Web Applications or simple Excel Reports.
You are expected to show good judgment when making trade-offs between your team"s investment (e.g. team prioritization, data retention policy, infrastructure costs) and the business need.
The BI team in WW HPB team works along with world-wide BI teams (based out of NA/CN/JP) to develop data/insight solutions for driving data backed business decisions.
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