Lead the development and execution of an insights agenda, leveraging optimised reports
Define priorities for insight generation, aligning output with business and client needs across categories, channels, and markets
Distil complex data environments into compelling stories that influence strategic planning and commercial initiatives
Ensure insights are not only informative but also decision-ready and aligned with business goals.
Maintain standardised processes, templates, and methodologies to ensure consistency, quality, and scalability of insights delivery
Define and track KPIs to measure the adoption and business impact of insights.
Data Integration & Synthesis
Integrate data from multiple internal and external sources to generate unified, actionable insights (e.g., linking Perfect Outlet execution to SMA performance or correlating outlet performance with retailer strategies)
Apply advanced analytical techniques and data visualisation best practices to translate findings into decision-ready outputs
Ensure integrated insights are delivered in formats that are accessible, relevant, and tailored to diverse stakeholder needs.
Reporting Accuracy & Governance
Take full accountability for the accuracy, completeness, and integrity of data used in all Pyramid models and associated reporting tools
Implement and maintain data validation processes to ensure that insights are built on robust, verified datasets
Monitor and continuously improve reporting structures to reflect evolving business needs and priorities.
Stakeholder Engagement
Deliver insight directly to clients, guiding decisions in areas such as product ranging, pricing strategies, and market prioritisation
Act as a thought partner to client stakeholders, helping them connect data to actionable growth levers.
6-8 years' experience in data analytics, market research, or business intelligence, preferably within FMCG or a similar fast-paced commercial environment.
Proven experience in developing insights from complex datasets and translating them into actionable business recommendations||Essential / Minimum|0-5 years|
Degree in Data Science or Computer Science
Diploma or Degree/NQF level 7 in Information systems or Business Intelligence
Degree in any relevant field
Attention to detail
Communication Skills (verbal & written)
Reporting skills
Analytical with problem solving skills
Ability to transform analytical findings into compelling data narratives
In-depth knowledge of data platforms and analytics methodologies, with specific expertise in Pyramid and data quality assurance
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