Data-Driven Business Intelligence Lead for Prime Analytics
3 weeks ago
About the Role
We are seeking a highly skilled Business Intelligence Engineer II to join our Amazon Prime Analytics team in Karnataka. As a key member of our team, you will be responsible for developing and implementing a long-term analytical strategy to drive business decisions and improve member insights.
Key Responsibilities
- Develop and implement a comprehensive analytical strategy to drive business decisions and improve member insights.
- Use analytics to influence multiple departments, increasing their productivity and effectiveness to achieve strategic goals.
- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that help shape our business roadmap.
- Leverage large-scale data mining to find trends and problems, then communicate and drive corrective action.
- Partner with the Machine Learning team in model building, variable definition, model validation, and creation of a targeting strategy.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions across Amazon Prime business units.
Requirements
- Bachelor's degree in Business Intelligence, Finance, Engineering, Statistics, Computer Science, Mathematics, or equivalent quantitative field.
- Experience working as a Business Intelligence Engineer in a technology company.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
- Knowledge of SQL and data warehousing concepts.
Preferred Qualifications
- Inquisitive mindset, with proven problem-solving ability, and a passion for big data.
- Experience with building multi-dimensional data models to serve as a foundation for future analyses.
- Experience building/operating highly available, distributed systems of data extraction, ingestion, data modeling, and processing of large data sets.
- Demonstrate proficiency with various approaches in regression, classification, and cluster analysis.
- Knowledge and experience in data visualization/reporting software (e.g., Tableau / QuickSight).
- Advanced SQL / datamining skills and analytical tools (like R / Python / SAS).
- Exposure to Product management.
- Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams.
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