- Identify, analyses, and interpret trends or patterns in complex data sets using statistical methods and pattern recognition methods.
-Identify complex problems and review related information to design, develop and evaluate alternatives and implement the solutions.
-Create diagrams, flowcharts, and specifications to be used by managers.
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency.
Requirements
-2 years of related work experience in payment or banking sector is strongly preferred
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
-Excellent knowledge of MS office, especially Excel, Word & PowerPoint
- Strong knowledge of statistics and experience in using statistical packages for analyzing data sets with Excel
- Good SQL skills, including experience in querying large, complex data sets is a plus
-experience with programming languages for data sciences like Python or R is a plus
- BS/MS in Industrial engineering, Mathematics, Economics, Computer Science, Information Management or Statistics
-Report writing and visualization skills
- Ideal Age 25-35