Analysing data to draw insights, patterns and conclusions that will enable the business to improve products, services, processes or to develop new strategies.
Handling large, complex datasets and developing and applying robust analytical processes including data cleaning, data interpretation models, forecasting, pattern identification and trend analysis.
Creating well-defined backlog and prioritised road maps that align predictive analytics projects with business needs.
Performing complex statistical analysis and utilizing mining, modeling, and testing techniques.
Creating complex algorithms that identify patterns in unstructured and structured data.
Planning all business and technical aspects of different data and analytics systems and platforms.