Amazon Sr Business Intelligence Engineer Kuiper Development 

United States, Washington, Redmond 

939199365

As a Senior 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.

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with data visualization using Tableau, Quicksight, or similar tools