Key Accountabilities:
Data Analysis and Modelling
Utilise advanced analytics and machine learning techniques such as predictive modelling, clustering algorithms, and marketing mix modelling (MMM) to support key market segments and forecast marketing performance.
Apply rigorous data analysis to uncover insights that support marketing strategy and decision-making.
Translate analytical outputs and scenario planning to provide forward-looking insights that guide investment decisions.
Insights Generation and Consultation
Translate complex data outputs into clear, actionable insights, linking findings to marketing strategy, customer behaviour, and performance outcomes.
Collaborate with business stakeholders to define key questions and ensure data analysis aligns with strategic priorities.
Present findings through presentations, reports, and visual dashboards to support executive-level decisions.
Marketing ROI Programme Management
Implement and sustain the Group-wide Marketing ROI measurement programme.
Partner with external suppliers to execute MMM and ML attribution models, ensuring consistency and accuracy in measurement across Business Units.
Track, analyse, and report on marketing effectiveness metrics to support budget optimisation.
Dashboard Development and Automation
Design and maintain interactive dashboards for real-time access to marketing insights.
Automate reporting solutions that streamline data delivery and enhance decision-making efficiency.
Identify opportunities to improve existing dashboards for accuracy, usability, and business relevance.
Data Management and Quality Assurance
Ensure the integrity, accuracy, and reliability of data across multiple marketing and research systems.
Apply data modelling principles to integrate diverse datasets and create holistic views of marketing performance.
Oversee data validation processes and proactively identifies opportunities for improvement in data architecture and governance.
Cross-Functional Collaboration
Provide analytical support for strategic projects and campaign evaluations across Business Units.
Encourage shared learning and best practice adoption across teams to enhance analytical maturity.
Continuous Improvement and Innovation
Stay abreast of emerging analytics methodologies, tools, and technologies to enhance insight generation.
Proactively identify opportunities to digitise and optimise existing processes and reporting.
Foster a culture of curiosity, innovation, and learning within the Research and Insights team.
Education & Qualifications:
Bachelor's Degree, Advanced Diploma, or B Tech [NQF 7]
Field of Study (Preferred): Data Science, Business / Marketing Analytics
Work Experience:
5 - 12 years experience in Data science or Business/Marketing Analytics, including a track record of 3 years in a people management position.
Exposure to process design, optimisation, quality management, customer centricity, technology and data-driven decision-making is preferred.
Proven track record in managing marketing ROI programmes and delivering strategic insights.
Experience in cross-functional collaboration and stakeholder consulting at senior levels.
Exposure to digital marketing ecosystems and omnichannel campaign evaluation.