Key Accountabilities

• Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualisation techniques.
• Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
• Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
• Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
• Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media..

Other Accountabilities

Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.

• Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
• Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns

Skills

Education

• Bachelor’s Degree, preferably in Business-related major