Amazon Business Intel Engineer II Amazon Cross-border 

India, Tamil Nadu 

166293075

As the Senior Business Intelligence Engineer, you will own our analytical tools, and build new business intelligence solutions end-to-end. You’ll work directly across all teams to provide valuable data-driven insights and recommendations. You will create reporting and analysis that the business will use to measure all aspects of operational performance and cost, and drive both incremental improvement to existing tools and processes and large scale changes in our tools, user interfaces, processes and overall business organization. You will create standard metrics reporting and deliver on ad hoc requests. You will flex across core operational metrics and consumer behavior metrics – linking the two and bringing proactive points of view to leadership, frequently before being prompted. In addition to leading the design, development, and management of our analytical tools and reporting, we will look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams in a fast paced environment and highly ambiguous work space.
Key job responsibilities
In this role, your responsibilities will include:
• Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
• Development of queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Specifically, own all SQL and Tableau – ad hoc, recurring, trouble-shooting.
• Working with team leadership to understand customer needs and concerns as well as define solutions.
• Translating basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.
• Using analytical and statistical rigor to solve complex problems and drive business decisions.
• Designing and driving experiments, A/B testing, outlier deep dives and form actionable recommendations, then managing the implementation of those recommendations.
• Writing queries and output efficiently, and having in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Converting data to make it analysis-ready.
• Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Monitoring and troubleshooting operational or data issues in the data pipelines.

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field