Job Description

Key Responsibilities:

• Develop and implement statistical analysis, forecasting, predictive modelling, simulation, and optimisation techniques to identify trends and opportunities.
• Evaluate new data sources and enhance data collection procedures to improve analytic capabilities.
• Build and communicate data-driven solutions using visualisation techniques.
• Design advanced analytics and machine learning models to address business challenges.
• Stay current with advancements in analytics technologies and methodologies.
• Act as a technical expert in machine learning tools, techniques, and programming languages.
• Mentor and coach junior team members.
• Present analytical findings and recommendations to stakeholders and management.
• Identify and prioritise business problems where analytics can drive measurable improvements.
• Collaborate across departments to gather requirements and ensure relevant data sources are used.
• Support the development and maintenance of analytic infrastructure including databases, BI tools, and modelling platforms.
• Migrate existing on-premise solutions to the cloud and ensure model stability and performance.
• Promote data-driven decision-making and build buy-in across the business.

Required Experience and Skills:

• 46 years of relevant experience in analytics or data science.
• Proficient in big data analytics, statistical modelling, and programming.
• Experience with machine learning models such as classification, regression, anomaly detection, and neural networks.
• Strong skills in Python, SQL Server, Power BI, Excel, PowerPoint; Azure experience is advantageous.
• Knowledge of API integration in Python.
• Excellent analytical, problem-solving, and communication skills.
• Strong project management and stakeholder engagement capabilities.

Educational Requirements:

• Matric certificate.
• Degree in Science, Mathematics, Statistics, Engineering, or Computer Science.
• Specialised qualification or degree in Data Science.

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