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  • Posted: Aug 29, 2024
    Deadline: Not specified
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    Postbank is a bank by South Africans for South Africans and like all the other renowned commercial banks in the South African market, Postbank is all about serving the South African citizens and creating lasting value. The Bank’s core function is to provide cost-effective financial services to South Africans. It views itself as a banking and financial...
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    Head of Analytics (D5)

    Job Responsibilities 

    Strategy development and Leadership: 

    • Develop a comprehensive data analytics strategy and roadmap aligned with the bank’s overall business objectives. 
    • Lead, mentor, and manage a team of data scientists, analysts, and data engineers. 
    • Foster a data-driven culture within the organization, promoting the use of data analytics across all departments 
    • Strategy implementation and Management 
    • Implement the agreed strategy. This includes people, process and technology capabilities 
    • Define the vision and objectives of the analytics function and embed real time information provision across the organisation. 
    • Ensure the efficient management of function/resources in accordance with the stipulation of the PFMA, fraud prevention and risk management principles, Corporate Governance, legislation agreement, Company policies, practice procedures, regulation, Delegation of Authority, etc. 

     Data Governance and Quality: 

    • Establish and lead a data governance framework, including policies, standards, and procedures. 
    • Ensure compliance with regulatory requirements related to data management and privacy (e.g., GDPR, CCPA, POPIA). 
    • Promote a data-driven culture within the organization 
    • Ensure the integrity, accuracy and security of data across the bank. 
    • Collaborate with IT and compliance teams to ensure adherence to data privacy regulations. 

     Stakeholder management: 

    • Work closely with senior management to understand business needs and translate them into data analytics solutions. 
    • Present findings and recommendations to executive leadership and other key stakeholders in a clear and compelling manner. 
    • Act as a liaison between the data analytics team and other departments, ensuring alignment and collaboration. 
    • Participate in Postbank strategic forums by providing insights to guide the discussions 

     Technology and Tools: 

    • Evaluate and implement cutting-edge analytics tools and platforms that meet the bank's needs. 
    • Enable user self service via the provision of analytical tools and technologies to areas supported. 
    • Stay up-to-date with industry trends and emerging technologies in data analytics. 
    • Optimize data analytics infrastructure to improve efficiency and scalability. 

     Performance Monitoring and Reporting: 

    • Develop and manage dashboards, reports, and data visualization tools to track performance against business objectives. 
    • Deliver both standardised as well as customised reports to meet user needs 
    • Proactively develop and communicate deep insights that will add economic value to the Bank. Insights must be based on a thorough and methodical analysis of the data. 
    • Regularly review and refine analytics processes to ensure continuous improvement. 
    • Monitor industry benchmarks and ensure the bank’s analytics capabilities are best-in-class. 

     Qualifications, Experience, Knowledge and understanding of: 

    • Completed a Post B-Degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field (NQF8) 
    • Completed or studying towards a master’s qualification 
    • At least 10 years’ experience in implementing and managing an analytics function. 
    • + 5 years banking or financial industry experience 
    • Proficiency in data analytics tools (e.g., Python, R, SQL) and platforms (e.g., Hadoop, Spark, Tableau, PowerBI). 
    • Strong understanding of predictive modelling, machine learning, AI, and big data technologies to solve business problems 
    • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud. 
    • Statistical analysis and modelling including hypothesis testing, regression analysis and predictive modelling (research methodology) 
    • Familiarity with large data platforms and technologies for handling and analysing large scale data sets 
    • System design and analysis 
    • Understanding of business operations, banking industry trends and an ability to translate business requirements into analytic solutions 
    • Experience in developing and executing analytic strategies aligned with organisational goals and priorities 

    Method of Application

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