As a Sr.Business Intelligence Engineer (BIE), you will be responsible for building and maintaining a highly scalable, reliable and efficient reporting and analytical system to support the fast-growing business. You will be collaborating with various business teams in identifying reporting/analytical requirement, building required data model, acquiring new data sources and building comprehensive data visualizations for key stakeholders. You will mine data, identify data co-relation across different functional areas, run statistical analysis, gather insights and make recommendations based on your findings to help senior leaders make key business decisions. Data analysis is at the core Amazon’s of culture and your work will have a direct impact on decision making and strategy for organizations. You will work with analytical tools, can write excellent SQL scripts, optimize performance of SQL queries and can partner with internal customers to answer key business questions. We look for candidates who are self-motivated, flexible, hardworking and who like to have fun.

Key job responsibilities
- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.
- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
- Surface and track key product metrics that reveal opportunities for innovation and optimization
- Mentor teammates, provide inputs in team and org level strategic planning, lead cross org discussions