Key Responsibilities:

• Set up structures to build and develop new analytical competencies in the business
• Actively source and champion the acquisition of Merchant, Customer, Transaction and Big Data
• The aggregation of structured enterprise and unstructured streaming data into analytical datasets
• Data mining, modelling and statistical analysis of various data sets to facilitate the creation of merchant and customer insights
• Transform analytical insights into commercially-viable reports and offerings
• Provide recommendations for management in respect campaigns to support growth strategies
• Set up experimental designs to track campaigns
• Internal and external stakeholder management

Key Competencies:

• Strong Analytical, problem solving and conceptual thinking skills
• Ability to explain complex statistical information
• Ability to draw data from systems and do analysis on information retrieved
• Quality control of output data
• Compilation of reports based on information retrieved and analysed
• Planning and organisational skills
• Must be able to work to, and manage, deadlines
• Attention to detail and commitment to delivery is vital
• Successfully convey findings and ideas through well written presentations and proposals
• Ability to effectively collaborate across different departments

Minimum Requirements:

• B.Sc/B.Comm/Humanities with Mathematics/Statistics, Actuarial Science, Economics, Engineering
• Minimum of 2 + years working experience of applied data mining (preferably in disciplines such as Credit Risk, Financial Services, Retail, Marketing and Fast moving consumer goods)
• Experience manipulating and analysing data using SAS, SQL, SAS Macros or other data analysis tools for complex modelling purposes or forecasting, i.e. ability to perform statistical Analysis on large datasets
• Knowledge of statistical and mathematical models and methodologies
• Database architecture, i.e. understanding of database and data warehouse concepts and functions