Role/person specification

Qualification

• Bachelor’s degree in data science, computer science, or a related field
  
• Microsoft Office Suite proficiency
  

Experience

• Experience in statistical modelling, data analysis, and data visualization
  
• Extensive knowledge and experience in user-centered design practices.
  

Knowledge And Skills

• Skilled in data visualization, reporting, presentation and effective communication of insights.
  
• Sound knowledge of statistical analysis and data modeling techniques
  
• Strong analytical and problem-solving skills
  
• Good understanding of Absa products, policies, plans/objectives in order to proactively embrace systems/procedure changes related to products, insights and analytics.
  
• Strong communication and collaboration skills to work with cross-functional teams.
  
• Ability to analyze and interpret financial and data models.
  
• Will require extensive knowledge of the industry landscape, user experience trends, players in the market, product knowledge etc.
  
• Impact of short, medium and long-term plans of the business and the effects of them on other functions, in order to implement the plans in the most effective and holistic manner.
  
• Good knowledge of IT systems.
  
• A good understanding of the other banking areas such as products, liability, assets businesses
  

Development & Implementation - 45%

• Analyze data to develop valuable insights related to business growth and product development and aligned to the 10X business agenda.
  
• Leverage product insights to identify and recommend new products or pricing initiatives for assessment and/or implementation to drive key product development initiatives.
  
• Devise actionable strategies from customer and products insights and leveraging research data and information to proactively identify business opportunities.
  
• Use the devised insights to build product prototypes/predictive models aligned to the 10X business agenda.
  
• Testing and implementation of the developed product prototypes, track and report outcomes.
  
• Develop and execute efficient and effective data analytics processes for business insights and decision-making purposes.
  
• Provide actionable insights into customer behavior and activity and make recommendations on strategic improved customer engagement and product penetration.
  
• Perform an analysis of key products and segments, competitors/market share, growth rate and impact analysis.
  

Business Monitoring & Management - 30%

• Take a lead in articulating and framing the product insights and recommendations when required to ensure there is appropriate substantiation.
  
• Liaise with all stakeholders on product insights, functionality, performance targets and activities planned.
  
• Monitor performance of the implemented product prototypes and report results with recommendations about performance and actions to improve if need be.
  
• Collaborate with cross-functional teams to design ad hoc and recurring reports to monitor performance indicators.
  
• Build report to visualize data insights and make data-driven recommendations to stakeholders/product managers.
  
• Stay up-to-date with data analytics trends, tools, and technologies and suggest improvements to enhance data-driven decision-making.
  
• Work with different teams to articulate insights to stakeholders, business and product managers.
  

Stakeholder Management and collaboration - 25%

• Proactively drive collaboration with varied stakeholders for execution and reporting of proposed product insights
  
• Liaise with / support to ensure timely delivery from Change, Operations & Technology teams for the development of processes, infrastructure, and IT capability to support Product enhancement recommendations.
  
• Engage with senior stakeholders across the organization to drive and manage the roadmap for the segments.
  
• Own and drive the Customer Segments story via effective communication with key stakeholders.