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.
- 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.
- 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.
- 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.
Key Competencies and Attributes:
- 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.
- 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.