Day to Day Responsibilities:  Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.  Interacts with product and service teams to identify questions and issues for data analysis and experiments.  Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.  Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments.  Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained. Education & Experience  Undergraduate in their second year or above in Statistics, Mathematics, Computer Science, Information Management, Industrial Engineering, or related disciplines.  One years or above experiences in data analytics field Required Skills  Familiar with data analysis technics (e.g. data mining/machine learning)  Computer: Excellent Excel, Access, power BI  Programming: Python, SQL, C++  Excellent communication skill in cross-department project and collaborations