Pricing Analyst

About the role

The Pricing & Revenue Analyst will model, monitor and optimise pricing strategies, discount structures and profitability margins across the brand portfolio. You will turn financial, commercial and market data into actionable Revenue Growth Management insights to maximise net revenue and gross margin.

Key responsibilities

• Define, maintain and update official price lists, commercial terms and discount/rebate matrices for all brands, categories and channels.
• Build sensitivity, elasticity and scenario‑planning models to forecast the impact of price changes on sales volume, net revenue and gross margin.
• Conduct regular profitability analyses (P&L by brand, SKU, customer and channel) to identify margin slippage and growth opportunities.
• Validate landed costs, packaging, materials and handling fees to ensure pricing models reflect accurate baseline costs.
• Track suggested retail prices (MSRP), retail execution and competitive price positioning.
• Audit value‑chain economics and distributor/retailer margin structures for healthy channel profitability.
• Model financial ROI of commercial discounts, trade promotions and brand activations, providing recommendations to optimise spend.
• Partner with Brand Managers on financial modelling, business cases and feasibility analyses for new product launches.
• Collaborate with Sales, Trade Marketing, Finance and Supply Chain to ensure accurate price execution and master‑data consistency in ERP systems.
• Develop and automate periodic pricing dashboards, margin reports and KPI trackers for senior GTM leadership.

Required profile

• Bachelor’s degree in Finance, Economics, Industrial Engineering, Business Administration, Quantitative Marketing or a related field.
• 1–2 years of proven experience in pricing, revenue management, commercial finance, business intelligence or FP&A.
• Preferred experience in Fast‑Moving Consumer Goods (FMCG), consumer goods distribution, wholesale or retail environments.

Required skills

• Advanced MS Excel (complex formulas, pivot tables, financial modelling, large‑scale data manipulation).
• Experience building interactive dashboards and data models in Power BI (preferred).
• Working knowledge of ERP systems for price execution and master‑data management.