Amazon Sr Business Intelligence Engineer CNGS NBS 

China, Shanghai 

505003160

Key job responsibilities
· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
· Apply Statistical and Machine Learning methods to specific business problems and data.
· Create global standard metrics across regions and perform benchmark analysis.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
· Develop efficient data querying and modeling infrastructure.
· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
· Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.

- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Good written, verbal, listening and communication skills in English.

- Master Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics with relevant experience.
- · Experience working with data visualization tools and creating data visualization concepts, such as Tableau or equivalent.
- · Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.
- · Experience of statistical analysis and tools such as SAS, R, or equivalent.
- · Fluency in a scripting or computing language. (e.g. Python, C++, Java, etc.)
- · Experience in e-commerce with AI technology as a plus.
- · Natural curiosity and desire to learn.