Pricing and Promo Analytics Associate plays a crucial role in our organization, serving as the analyst responsible for various aspects of price elasticity analysis. This role involves tasks related to understanding and assessing price sensitivity, analyzing customer behavior, and supporting pricing strategies.

The key responsibilities of the Pricing Associate include:

• Conducting market research and other data analysis to understand and gather key price drivers.
• Conducting Price elasticity, Pricing Conjoint and Perceived Value study to provide insights into consumer reactions to pricing changes
• Gaining in-depth understanding of Shopper Behavior for every channel in the region
• Standardizing and simplifying our pricing models and methodologies to enhance efficiency.
• Collaborating with cross-functional teams to ensure pricing strategies align with our goals
• Utilizing data-driven insights to improve the overall shopper and user experiences related to pricing
• Contributing to the long-term pricing strategy of the organization and assisting in the development of new pricing approaches
  
  

Pricing and Promo Analytics Associate leverages analytical skills and tools to support our pricing strategies designed to increase our market share and profitability while enhancing the shopper experience.

Responsibilities

Functional Responsibilities

• Develop advanced analytics solutions using Machine Learning and statistics to inform pricing and pack architecture decisions and support our long-term strategy.
• Utilize expertise to build Price Elasticity Models for Promoted and Non-promoted SKUs.
• Develop scenarios of pricing and pack architecture using Conjoint study.
• Build simulations on Pricing and Promotions, support in building Promo calendar.
• Identify perceived Value of all SKUs in PepsiCo portfolio and how it compares against competition.
• Support the development of a clear Channel and Customer Pricing Strategy.
• Provide recommendations for optimizing the commercial strategy and game plan to maximize the product mix.
• Determine annual pricing rates based on relevant external and competitive benchmarks.
• Define promotional guidelines and optimal offers, identify promotion frequency to deliver targeted Consumer Value, Effectiveness, and Profitability.
• Ensure the delivery of accurate and timely data in accordance with agreed service level agreements (SLA).
• Collaborate with multiple functions to gather insights for action-oriented cause of change analysis.
• Prioritize speed of execution and quality of service delivery over simply meeting SLAs
• Recognize opportunities for improvement in the delivery of work and take proactive action to enhance processes and outcomes.
  
  

Qualifications

• 6 -9 years of strong experience in Data Analytics; Revenue Management or Sales experience is a plus.
• Experience in managing complex, incomplete, and inconsistent datasets.
• Deep grounding in analytical logic, enabling the translation of complex data into powerful insights.
• Ability to source data from internal and external contacts without detailed process or guidance.
• Proficiency in using PowerPoint to create visually compelling presentations that resonate with senior audiences.
• Familiarity with syndicated data sets (Nielsen/IRI), price and promotion models, trade system data, and financial data is a plus.
• Experience in top-tier consulting or Fast-Moving Consumer Goods (FMCG) companies is a plus.
• Exceptional analytical skills with advanced proficiency in MS Excel (VBA and Macros) and Alteryx.
• Working proficiency in Python or R Language (preferred)
• Proficiency in data visualization tools like Tableau or Power BI.
• Ability to build Machine Learning algorithms on forecasting is a plus.
• Bachelor's degree in engineering or statistics, Master's degree is a plus.
• If the candidate is from Commerce stream, demonstrated acumen on Data Science.
• Willingness and ability to quickly learn and utilize PepsiCo software systems.
• Exceptional time management skills, including ability to set priorities and plan effectively.