Masters degree in Business Administration, Economics, Engineering or related field and completion of a universitylevel course, research project, internship, thesis, or one year of experience involving the following Developing innovative and creative output by using interpretation and analysis; Supporting projects by using Microsoft Teams, Smartsheet or PowerPoint to track and present project status; Performing data diagnostics, discovery, modeling, and visualization; Utilizing data analytics to establish empirical results, for example, using raw data tobr make recommendations and predict the outcome of success for different options; Analyzing abstract and complex problems that require evaluation of intangible variables; and Analyzing and generating insights from financial, risk, or product life cycle assessments via quantitative and qualitative methodologies.
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