Description
Key responsibilities:
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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.
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Conduct market, competitive and consumer behaviour analysis to identify Price Pack Architecture (PPA) and brand ladder opportunities.
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Drive promotions optimization: evaluate promo tactics, design tests, recommend promo calendar changes and prioritize trade terms to maximize NRR.
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Design, build and maintain automated reports to accelerate insights-to-action at scale.
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Develop KPIs, monitor performance, identify root causes and recommend corrective actions for sector/market performance.
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Support sector RGM strategic projects (promotions optimization, competitor benchmarking, PPA initiatives) end-to-end.
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Collaborate cross-functionally with Insights, Sales, Trade Marketing and Finance to align pricing strategies with commercial objectives and regulatory requirements.
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Ensure timely delivery of analyses and reports in line with SLAs and improve the utility of operational/performance data across teams.
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Contribute to capability building: assist in training COE associates and document methodologies and playbooks.
Must-have qualifications & experience:
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3–4 years’ experience in Revenue Growth Management, pricing & promotion analysis, or related RGM strategic projects (FMCG/CPG preferred).
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Practical experience with regression modelling, price elasticity, promo analysis
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Solid data analysis and visualization skills — advanced Excel + PowerPoint; experience with Power BI or Tableau
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Proven ability to translate complex analytics into clear, actionable commercial recommendations and stakeholder-ready presentations.
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Comfortable working to SLAs and tight deadlines; strong attention to detail and numeracy.
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Excellent communications skills
Preferred qualifications:
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Background in consumer insights, trade marketing, key account management or