Amazon Business Intelligence Engineer L5 Paragon Analytics 

United States, Washington, Seattle 

939716448

Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.As a BIE II, you will help develop an insightful platform provide insights from Paragon as a product, influence the product roadmap and contribute to the “CMS Insights Suite” of actionable datasets and metrics that support tenants covering both retrospective and near real time reporting use cases.
The BIE II will collaborate with the product and tech teams across Paragon and it's partners teams to gather requirements, structure scalable and performant data solutions, and gain a deep understanding of key datasets.Key job responsibilities
Here are key job responsibilities for a Business Intelligence Engineer role:BI and Data Analytics
- Lead complex data analysis projects to identify opportunities for improvement and optimization across the organization
- Develop and implement innovative BI solutions to create insights into the product capabilities and performance as well as drive optimal operational efficiencies by gathering data from various sources.Technology Integration and Optimization:
- Optimize the performance, scalability, and reliability of the organization's data infrastructure and reporting systems
- Engage in measuring data quality, A/B testing launching and managing metric catalog and curated data data layer
- Ensure the integrity, security, and governance of the organization's data assetsStakeholder Engagement and Reporting:
- Communicate data-driven insights and recommendations to the stakeholders

- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 4+ years of experience in Data/BI space

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field