Data & Insights Lead

End Date: November 18, 2026

Key Roles and Responsibilities: ​

Risk Analytics and Targeting​

• Develop risk indicators and analytical routines across sales, volume, pricing, discount, margin, claims and customer data.​
• Identify high-risk customers, channels, territories, transactions and investment programmes for inspection.​
• Produce targeted inspection lists and explain the risk rationale to field teams.​

Commercial Intelligence​

• Analyse inspection results to identify patterns, recurring control failures and emerging commercial risks.​
• Quantify potential exposure and prioritise issues for deeper review or investigation.​
• Maintain risk profiles and heatmaps to support inspection planning and resource allocation.​

Data Quality and Methodology​

• Establish definitions, logic, thresholds and quality checks for inspection analytics.​
• Reconcile source data and document assumptions to support defensible findings.​
• Continuously refine detection methods using verified inspection outcomes.​​

Insight Reporting​

• Develop dashboards and concise management reporting on risk, coverage, findings and commercial impact.​
• Translate complex data into clear insights and recommended inspection actions.​
• Support the Head of Commercial Inspection with plan development and executive reporting.​

​Cross-functional Support​

• Partner with Revenue Management, Sales, Finance, Trade Marketing, Internal Audit and Compliance to understand data and risk drivers.​
• Support investigations and thematic reviews with focused analysis.​
• Build analytical capability within the inspection team.​

• Advanced Excel and strong Power BI or equivalent business intelligence capability.​
• Data modelling, reconciliation, exception analysis and dashboard development.​
• Understanding of FMCG commercial processes, pricing, discounting and customer profitability.​
• Ability to quantify financial exposure and communicate analytical findings clearly.​
• Analytical curiosity and disciplined problem solving.​
• Commercial acumen and an owner’s mindset.​
• Attention to detail and commitment to data integrity.​
• Ability to influence field and commercial stakeholders through evidence.​
• Clear communication and practical orientation.​
• Commitment to confidentiality, objective evidence and consistent application of company standards.​
• Ability to work across functions and maintain appropriate independence from audited activities.​
• Ability to work with large and potentially sensitive commercial datasets.​
• Availability to accompany targeted field reviews where analytical validation is required.​

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• Bachelor's degree in Data Analytics, Statistics, Finance, Economics, Accounting, Business or a related discipline.​
• Five or more years of experience in commercial analytics, revenue management, finance, audit analytics, risk or FMCG sales analysis.​
• Experience analysing customer investments, discounts, pricing, claims, sales or route-to-market data.​