Business Intelligence Engineer, Amazon Groceries
Job Summary
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 KPIs 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.
- 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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Required Experience:
IC
Key Skills
About Company
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