Pricing and Revenue Growth Consultant

• 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 learning 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
• o Trade Promotion Management TPM Trade Promotion Optimization TPO Trade Spend Efficiency
• o Promotion Depth Frequency Forecasting Scenario and Effectiveness
• o Price Pack Architecture Pricing Elasticity and Price Sensitivity
• o Competitive Price tracking benchmarking and effectiveness
• o Revenue Growth Management Category and Channel Growth Market Entry and New Product Pricing
• o Financial Modeling Dynamic pricing implementation
• o AI Machine Learning for Pricing

Key Responsibilities:

• Consulting Skills
• o Hypothesis driven problem solving
• o Go to market pricing and revenue growth execution
• o Advisory Presentation Data Storytelling
• o Project Leadership and Execution

Technical Requirements:

• Technical Skills
• o Proficiency in programming languages like Python and R for data manipulation and analysis
• o Expertise in machine learning algorithms and statistical modeling techniques
• o Familiarity with data warehousing and data pipelines
• o Experience with data visualization tools like Tableau or Power BI
• o Experience in Cloud platforms e
• g
• ADF Data bricks Azure and their AI services

Additional Responsibilities:

• Typical Work Environment
• Collaborative work with cross functional teams across sales marketing and product development
• Stakeholder Management Team Handling
• Fast paced environment with a focus on delivering timely insights to support business decisions
• Excellent 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 impact
• Qualification
• Degree in Data Science Computer Science with data science specialization
• Master s in business administration and Analytics preferred

Preferred Skills: