A background in Mathematics, Statistics, Computer Science, Information Management, or Economics is desirable.Knowledge of programming languages like SQL, R, MATLAB, or Python could be an added advantage. Technical know how regarding database design development, data models, techniques for data mining, and segmentation.Knowledge of data visualization software like Tableau, Qlik or Power BI Application on IBM System z Running IBM SPSS Real-Time Analytics Mike Ebbers Keith Doan Andrew Flatt Using IBM SPSS Modeler for Analytics modeling Configuring risk assessment in SPSS Decision Management Real-time scoring using a System z host.Proficiency in statistics and statistical packages like Excel, SPSS or SAS to be used for data set analyzing.Strong mathematical skills to help collect, measure, organize and analyze data.Preparing reports for the management and stakeholders stating trends, patterns, and predictions using relevant data.Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.Performing analysis to assess quality and meaning of data.Using data analysis tools to extract and clean data from primary and secondary sources.This is by using BI tools to collect, clean, analyze and scrutinize data to recognize and identify patterns and trends that are important in making decisions in business. The BI Associate will be responsible for turning raw data into information and insight.
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