Manager - Revenue Growth Management

Role & responsibilities

• Support BU RM Lead on Pricing, Pack Price, Mix and Trade Spend analysis and recommendations for AOP, three-year pricing roadmap, ad-hoc projects e.g. playbook, sugar tax, competition tactical moves, etc.
• Data gathering from variety sources internal and external (desk research, syndicated data, competition, etc.)
• Perform analyses market trends, key observations, translating complex data into insights
• Formulate hypothesis & options for pursuing to ensure competitive position in marketplace – formulate volume, revenue, profit, share change impact
• Development of pricing strategies for recommendations
• Support BU RM Promo Spend analysis
• Analyze consumer promotion effectiveness by product, customer for MT / eCom channel eg. Which consumer promotions result in best Lift?
• Analyze ROI of trade spends by product, market eg. Are there overall country level optimization opportunities by better allocating regional/area budgets? Which type of trade promotion works best for different products/markets?
• Develop view-point on elasticity of volume to changes in RCP, Trade Spend, ND, etc. by product, market: Is there a positive trade-off that we can make for particular product, market?
• Develop profitability waterfall at granular level that can be rolled up as required: Are there zones / areas / districts that have lower revenue realization compared to similar geographies? Why?
• Support BU RM Lead on monthly Pricing Council and quarterly Pricing Governance reporting
• Support VP RM on monthly RM reporting scorecard
• Support VP RM on implementation of analytics dashboard – including design & UAT, maintaining database update for RM analytics
• Track pack performance of PEP & Competitors e.g. MENA FOBO has 17 markets, each with either Nielsen or Canadean data – CSD & LRB
• Maintain database of each market pack price mix line up of PEP & competitors
• Maintain database pack P&L model of each market and run simulation when required
• Liaise with agency , Finance, & Transformation team for automation project

Preferred candidate profile

• Finance or Business degree
• Consulting background preferred with FMCG projects exposure or 3-year pricing experience
• Insightful, focused on the big picture, team player, strong communication skills, well-organized, self-starter.
• Strong analytical & numerical skills
• Advance excel and power point (advanced/master level)
• Advanced knowledge of SQL, PowerBI to be able to analyze and solve for complex hypotheses using multiple data sources.
• Data Science – Intermediate
• Effective problem-solving skills to devise solutions to drive profitability and support revenue and market share goals.
• Financial modelling – P&L simulations; applying financial data to consumer research findings and output
• Diligent and attention to details
• Good story telling and ability to articulate analyses in a clear & concise manner.