Data Transformation Engineer

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 procedure in analyzing situations or data from which answers can be readily obtained.

Education & Experience

•    BS/MS degree in Statistic, 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, Java (Hadoop is a plus)
•    Statistic tool: Minitab/SAS/SPSS
•    Excellent communication skill in cross-department project and collaborations
•    Good English comprehension in speaking, writing and reading.

Desired Skills

•    Project management skill
•    Experience in implementing DMAIC methodology and leading 6-sigma project
•    Excellent written and oral communication skills in English and Chinese (Mandarin).

Soft Skills

•    Strong ownership of achieving plant goal
•    Sense of urgency and creativity to handle project issues and adapt plan to meet objectives 
•    Flexibility to adapt to changing environment; be a change agent to help others through change
•    Cross-cultural Sensitivity
•    Customer Focus
•    Communication skill and positive working attitude in team