Amazon Business Intelligence Engineer Kuiper Development 

United States, Washington, Redmond 

380575043

As a Business Intelligence Engineer (BIE) in Kuiper’s Commercial Revenue Operations you will define the team’s business intelligence (BI) vision, strategy, and best practices. You will lead the design, implementation, and delivery of high impact BI solutions in a startup environment with limited guidance. You will collaborate with business partners from sales, marketing, operations, product, engineering, finance and legal to define, plan, and build complex analytical solutions to inform business planning, sales performance, customer life-cycle analysis, capacity management and more. You will translate strategic and operational data needs into the necessary data models, ETL pipelines, reports, and visualizations. As the team grows, you will participate in hiring and mentoring other BIEs.Key job responsibilities- Collect, analyze, and interpret large datasets from diverse sources to identify trends and patterns- Proactively identify opportunities to improve data quality, performance, and usability of existing dashboards and reports.
- Work on data pipelines, data models and leverage the AWS tech stack to build visualizations
- Map security controls to systems to present this data to auditors both internal and external.
- Collect event logs from systems and devices to present the data on dashboards for key indicators on health.
- Collect group membership data from systems to present the data in dashboards for visibility into who has access to what services.
- Provide technical guidance and support to stakeholders in leveraging dashboards and data insights to enhance decision-making processes related to security.Export Control Requirements: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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