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.- 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- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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