Job Description

Locations

• China, 31, Shanghai, Shanghai, 31, People's Republic of China
• China, 13, Beijing, Beijing, 13, People's Republic of China

Salary

Skills Required

• - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the businessintermediate
• - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceintermediate
• - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsintermediate
• - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingintermediate

Required Qualifications

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

Preferred Qualifications

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

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.

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