Job Information
Amazon Business Intelligence Engineer, Amazon Fresh in London, United Kingdom
Description
Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? Amazon Fresh is looking for a pro-active Business Intelligence Engineer with strong technical and analytical skills. We are currently looking for a BIE who can be located in Luxembourg, London, Berlin, Munich, Paris or Milan.
Key job responsibilities
Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.
Participate in developing client BIE roadmaps. Interface directly with customers and stakeholders, gathering requirements and supporting end-to-end reporting solutions.
Participate in developing department KPI’s and operational metrics to drive improvements in automation and robotics projects
Develop complex queries for ad-hoc requests and projects, as well as ongoing reporting.
Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages.
Maintain data integrity, perform QA Audits and diligently troubleshoot issues.
Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets.
Generate daily, weekly, and monthly data reports for both internal and external business reviews.
Respond with urgency to high priority requests from senior business leaders.
About the team
Within International Amazon Fresh, AIS (Analytics, Insights and Science) strives to empower decision-making with actionable insights across banners. The team intentionally balances delivering value quickly (Minimum Lovable Products/P0), while driving for self-service. We partner with WW analytics teams to scale our work and de-duplicate efforts by working away. The team prioritises big rocks every 6 months whilst retaining a year-round SIM intake for emerging initiatives along with providing on-call and office hours for our stakeholders.
Basic Qualifications
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with SQL
Experience in the data/BI space
Preferred Qualifications
Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis
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