Job Title

A "Pricing & Revenue Growth Consultant" advise to build a pricing and promotion tool for CPG client which would have pricing strategies, trade promotions, and revenue growth initiatives. This will involve building analytics and machine learing models for price elasticity, promotion effectiveness, and trade promotion optimization. Consultant would require collaborating with CPG business, marketing, data scientist and other teams for a successful delivery of project and tool.Required Skills: Business Domain Skills:Trade Promotion Management (TPM) , Trade Promotion Optimization (TPO) , Trade Spend EfficiencyPromotion Depth, Frequency, Forecasting, Scenario and EffectivenessPrice Pack Architecture, Pricing Elasticity and Price SensitivityCompetitive Price tracking, benchmarking and effectivenessRevenue Growth Management, Category and Channel Growth, Market Entry and New Product PricingFinancial Modeling, Dynamic pricing implementationAI & Machine Learning for PricingTechnical Skills:Proficiency in programming languages like Python and R for data manipulation and analysisExpertise in machine learning algorithms and statistical modeling techniquesFamiliarity with data warehousing and data pipelinesExperience with data visualization tools like Tableau or Power BIExperience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services.Consulting Skills:Hypothesis-driven problem solvingGo-to-market pricing and revenue growth executionAdvisory, Presentation, Data StorytellingProject Leadership and ExecutionTypical Work Environment: Collaborative work with cross-functional teams across sales, marketing, and product developmentStakeholder Management, Team HandlingFast-paced environment with a focus on delivering timely insights to support business decisionsExcellent problem-solving skills and ability to address complex technical challenges.Effective communication skills to collaborate with cross-functional teams and stakeholders.Potential to work on multiple projects simultaneously, prioritizing tasks based on business impactQualification:Degree in Data Science, Computer Science with data science specializationMaster’s in business administration and Analytics preferredRevenue and Pricing Domain knowledge and experience must have.