To lead the faculty for learning and development -in Bigdata Python and machine learning.
Experience in academia and teaching in related subjects of ananlytics with an aptitude for training.
Analyzes sales data and compiles information for reports (e.g., pipeline forecasting, quality assurance); identifies trends and makes observations.
Manages day-to-day post-sales order management (e.g., credits, returns) and resolution of customer issues (e.g., specialized product builds, performance reports and data analysis); handles multiple moderately complex customer accounts.
May mentor non-exempt level team members on day-to-day activities.
Manages open order (backlog) report issues resolution and reaches out to supply chain or factory to determine source of delay; communicates status and escalates issues as necessary.