Pricing and Revenue Growth Consultant

As a Pricing Revenue Growth Consultant, your primary role will be to advise on building a pricing and promotion tool for a Consumer Packaged Goods (CPG) client. This tool will encompass pricing strategies, trade promotions, and revenue growth initiatives. You will be responsible for developing analytics and machine learning models to analyze price elasticity, promotion effectiveness, and trade promotion optimization. Collaboration with CPG business, marketing, data scientists, and other teams will be essential for the successful delivery of the project and tool. Your Business Domain Skills will be crucial in this role, including expertise in Trade Promotion Management (TPM), Trade Promotion Optimization (TPO), Promotion Depth Frequency Forecasting, Price Pack Architecture, Competitive Price Tracking, Revenue Growth Management, and Financial Modeling. Additionally, you will need proficiency in AI, Machine Learning for Pricing, and Dynamic pricing implementation. Key Responsibilities: - Utilize Consulting Skills for hypothesis-driven problem solving, Go-to-Market pricing, and revenue growth execution. - Conduct Advisory Presentations and Data Storytelling. - Provide Project Leadership and Execution. In terms of Technical Requirements, you should possess: - Proficiency in programming languages such as Python and R for data manipulation and analysis. - Expertise in machine learning algorithms and statistical modeling techniques. - Familiarity with data warehousing, data pipelines, and data visualization tools like Tableau or Power BI. - Experience in Cloud platforms like ADF, Databricks, Azure, and their AI services. Your Additional Responsibilities will include: - Working collaboratively with cross-functional teams across sales, marketing, and product development. - Managing stakeholders and leading teams. - Thriving in a fast-paced environment focused on delivering timely insights to support business decisions. - Demonstrating excellent problem-solving skills and the ability to address complex technical challenges. - Communicating effectively with cross-functional teams and stakeholders. - Managing multiple projects simultaneously and prioritizing tasks based on business impact. Qualifications: - A degree in Data Science or Computer Science with a specialization in data science. - A Master's in Business Administration and Analytics is preferred. Preferred Skills: - Experience in Technology, Big Data, and Text Analytics.,