Business Intelligence Engineer II
1 month ago
Amazon Prime is a program that provides millions of members with unlimited one-day delivery, unlimited streaming of video and music, secure online photo storage, access to Kindle e-books, and Prime special deals on Prime Day. In India, Prime members get unlimited free One-Day and Two-day delivery, video streaming, and early and exclusive access to deals.
We are looking for a detailed-oriented Business Intelligence Engineer to lead the business intelligence for Prime and drive member insights. The ideal candidate will have excellent team leadership skills, outstanding business acumen, and the breadth to work across multiple Amazon Prime Business Teams, Data Engineering, Machine Learning, and Software Development teams.
Key Responsibilities:- Develop a long-term analytical strategy and drive the implementation of that strategy.
- 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.
- Large-scale data mining to find trends and problems, then communicate and drive corrective action.
- Apply Statistical and Machine Learning methods to specific business problems.
- Partner with Machine Learning team in Model Building w.r.t. 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.
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, 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.
- 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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