Manager, Product Analytics at Standard Bank Group

Job Description

Apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena.  Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

Qualifications

Minimum Qualifications

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology

Experience Required

• Data Monetisation
• Data & Analytics
• 5-7 years
• Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualisation tools, such as Power BI, Tableau, etc.
• 5-7 years
• Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring, propensity models, churn, etc.).

Additional Information

Behavioral Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Details
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working

Technical Competencies:

• Data Analysis
• Data Integrity
• Database Administration
• Knowledge Classification
• Research & Information Gathering