Business Intelligence Engineer, Amazon Groceries
Role details
Job location
Tech stack
Job description
Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? Amazon Groceries 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 London, Luxembourg, Berlin, Munich or Paris., 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 Groceries, 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.
Requirements
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
Preferred Qualifications
- 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
