Build, validate and present regression and predictive models (price elasticity, promo lift, mix performance) using Python/R or alternative tools to inform pricing and promotional decisions.
Conduct market, competitive and consumer behaviour analysis to identify Price Pack Architecture (PPA) and brand ladder opportunities.
Drive promotions optimization: evaluate promo tactics, design tests, recommend promo calendar changes and prioritize trade terms to maximize NRR.
Design, build and maintain automated reports to accelerate insights-to-action at scale.
Develop KPIs, monitor performance, identify root causes and recommend corrective actions for sector/market performance.
Support sector RGM strategic projects (promotions optimization, competitor benchmarking, PPA initiatives) end-to-end.
Collaborate cross-functionally with Insights, Sales, Trade Marketing and Finance to align pricing strategies with commercial objectives and regulatory requirements.
Ensure timely delivery of analyses and reports in line with SLAs and improve the utility of operational/performance data across teams.
Contribute to capability building: assist in training COE associates and document methodologies and playbooks.